---------------------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  C:\Users\fkostelk\Dropbox\Replication_EF\Replication_EF.log
  log type:  text
 opened on:   3 Mar 2023, 17:19:30

. 
. do "C:\Users\fkostelk\Dropbox\Replication_EF\Code\1_1.do" 

. *********************************************************************************
. *                                                                               *
. *                Election Frequency - Preparing the Dataset                         *
. *                                                                               *
. *               Import from Excel (Data from Western Europe)                    *
. *                                                                               *
. *********************************************************************************
. 
. global beg_path `"C:\Users\fkostelk\Dropbox\Replication_EF\"'  // F - Home

. 
.  cd `"${beg_path}Data\Analysis 1\"'
C:\Users\fkostelk\Dropbox\Replication_EF\Data\Analysis 1

. 
. 
. /*  Importing originally collected data from Western Europe */
. import excel using "Collection\Electionsdata_july2020.xlsx", ///
>          sheet(Sheet11) firstrow all clear 
(21 vars, 111 obs)

. 
. /* loop to read Excel spreadsheets */
. 
. forvalues i=12(-1)1 { 
  2. import excel using "Collection\Electionsdata_july2020.xlsx", ///
>          sheet(Sheet`i') first all clear 
  3.   
.   if `i'==12 {
  4.     save  electionsdata.dta, replace
  5.   }
  6.   else {
  7.     append using electionsdata.dta, force
  8.     save electionsdata.dta, replace
  9.   }
 10. }
(21 vars, 79 obs)
file electionsdata.dta saved
(21 vars, 111 obs)
(variable Source was str189, now str270 to accommodate using data's values)
file electionsdata.dta saved
(20 vars, 68 obs)
(variable Date was str8, now str10 to accommodate using data's values)
(variable Coverage_dis was str3, now str17 to accommodate using data's values)
(variable Voted was str7, now str8 to accommodate using data's values)
(variable Blank was str6, now str10 to accommodate using data's values)
(variable Second was str6, now str17 to accommodate using data's values)
(variable Source was str86, now str270 to accommodate using data's values)
file electionsdata.dta saved
(22 vars, 55 obs)
(variable Date was str9, now str10 to accommodate using data's values)
(variable Coverage_pop was str3, now str16 to accommodate using data's values)
(variable Coverage_dis was str3, now str17 to accommodate using data's values)
(variable Voted was str7, now str8 to accommodate using data's values)
(variable Blank was str5, now str10 to accommodate using data's values)
(variable Spoiled was str5, now str6 to accommodate using data's values)
(variable Elsystem was str1, now str2 to accommodate using data's values)
(variable First was str4, now str17 to accommodate using data's values)
(variable Second was str5, now str17 to accommodate using data's values)
(variable Source was str90, now str270 to accommodate using data's values)
(variable Visited was str8, now str9 to accommodate using data's values)
(variable Comments was str1, now str188 to accommodate using data's values)
file electionsdata.dta saved
(21 vars, 78 obs)
(variable Date was str8, now str10 to accommodate using data's values)
(variable Coverage_pop was str3, now str16 to accommodate using data's values)
(variable Coverage_dis was str3, now str17 to accommodate using data's values)
(variable Blank was str6, now str10 to accommodate using data's values)
(variable Elsystem was str1, now str2 to accommodate using data's values)
(variable First was str5, now str17 to accommodate using data's values)
(variable Second was str5, now str17 to accommodate using data's values)
(variable Source was str82, now str270 to accommodate using data's values)
(variable Visited was str7, now str9 to accommodate using data's values)
(variable Comments was str21, now str188 to accommodate using data's values)
file electionsdata.dta saved
(21 vars, 44 obs)
(variable Type was str1, now str2 to accommodate using data's values)
(variable Date was str8, now str10 to accommodate using data's values)
(variable Length was str1, now str2 to accommodate using data's values)
(variable Blank was str2, now str10 to accommodate using data's values)
(variable Elsystem was str1, now str2 to accommodate using data's values)
(variable First was str5, now str17 to accommodate using data's values)
(variable Second was str5, now str17 to accommodate using data's values)
(variable Source was str246, now str270 to accommodate using data's values)
(variable Comments was str92, now str188 to accommodate using data's values)
file electionsdata.dta saved
(21 vars, 94 obs)
(variable Type was str1, now str2 to accommodate using data's values)
(variable Date was str8, now str10 to accommodate using data's values)
(variable Length was str1, now str2 to accommodate using data's values)
(variable Coverage_pop was str3, now str16 to accommodate using data's values)
(variable Coverage_dis was str3, now str17 to accommodate using data's values)
(variable Voted was str7, now str17 to accommodate using data's values)
(variable Blank was str2, now str10 to accommodate using data's values)
(variable Spoiled was str6, now str17 to accommodate using data's values)
(variable Registered was str7, now str17 to accommodate using data's values)
(variable Elsystem was str1, now str2 to accommodate using data's values)
(variable Second was str5, now str17 to accommodate using data's values)
(variable Source was str187, now str270 to accommodate using data's values)
(variable Visited was str7, now str9 to accommodate using data's values)
(variable Comments was str1, now str188 to accommodate using data's values)
file electionsdata.dta saved
(31 vars, 71 obs)
(variable Type was str1, now str2 to accommodate using data's values)
(variable Date was str9, now str10 to accommodate using data's values)
(variable Length was str1, now str2 to accommodate using data's values)
(variable Voted was str7, now str17 to accommodate using data's values)
(variable Blank was str3, now str10 to accommodate using data's values)
(variable Spoiled was str5, now str17 to accommodate using data's values)
(variable Registered was str7, now str17 to accommodate using data's values)
(variable Elsystem was str1, now str2 to accommodate using data's values)
(variable Second was str4, now str17 to accommodate using data's values)
(variable Source was str164, now str270 to accommodate using data's values)
(variable Visited was str8, now str9 to accommodate using data's values)
(variable Comments was str1, now str188 to accommodate using data's values)
file electionsdata.dta saved
(21 vars, 71 obs)
(variable Type was str1, now str2 to accommodate using data's values)
(variable Date was str8, now str10 to accommodate using data's values)
(variable Length was str1, now str2 to accommodate using data's values)
(variable Coverage_dis was str4, now str17 to accommodate using data's values)
(variable Voted was str7, now str17 to accommodate using data's values)
(variable Blank was str6, now str10 to accommodate using data's values)
(variable Spoiled was str6, now str17 to accommodate using data's values)
(variable Registered was str8, now str17 to accommodate using data's values)
(variable Elsystem was str1, now str2 to accommodate using data's values)
(variable Second was str5, now str17 to accommodate using data's values)
(variable Source was str107, now str270 to accommodate using data's values)
(variable Visited was str8, now str9 to accommodate using data's values)
(variable Comments was str1, now str188 to accommodate using data's values)
file electionsdata.dta saved
(21 vars, 158 obs)
(variable Type was str1, now str2 to accommodate using data's values)
(variable Date was str8, now str10 to accommodate using data's values)
(variable Length was str1, now str2 to accommodate using data's values)
(variable Voted was str8, now str17 to accommodate using data's values)
(variable Blank was str7, now str10 to accommodate using data's values)
(variable Spoiled was str7, now str17 to accommodate using data's values)
(variable Registered was str8, now str17 to accommodate using data's values)
(variable Elsystem was str1, now str2 to accommodate using data's values)
(variable Source was str205, now str270 to accommodate using data's values)
(variable Visited was str7, now str9 to accommodate using data's values)
file electionsdata.dta saved
(21 vars, 67 obs)
(variable Type was str1, now str2 to accommodate using data's values)
(variable Date was str9, now str10 to accommodate using data's values)
(variable Length was str1, now str2 to accommodate using data's values)
(variable Coverage_pop was str3, now str17 to accommodate using data's values)
(variable Coverage_dis was str3, now str17 to accommodate using data's values)
(variable Voted was str7, now str17 to accommodate using data's values)
(variable Blank was str2, now str10 to accommodate using data's values)
(variable Spoiled was str6, now str17 to accommodate using data's values)
(variable Registered was str7, now str17 to accommodate using data's values)
(variable Elsystem was str1, now str2 to accommodate using data's values)
(variable First was str5, now str17 to accommodate using data's values)
(variable Second was str5, now str17 to accommodate using data's values)
(variable Source was str196, now str270 to accommodate using data's values)
(variable Visited was str7, now str9 to accommodate using data's values)
(variable Comments was str1, now str237 to accommodate using data's values)
file electionsdata.dta saved
(21 vars, 103 obs)
(variable Type was str1, now str2 to accommodate using data's values)
(variable Date was str8, now str10 to accommodate using data's values)
(variable Length was str1, now str2 to accommodate using data's values)
(variable Coverage_pop was str3, now str17 to accommodate using data's values)
(variable Coverage_dis was str3, now str17 to accommodate using data's values)
(variable Voted was str7, now str17 to accommodate using data's values)
(variable Blank was str6, now str10 to accommodate using data's values)
(variable Spoiled was str6, now str17 to accommodate using data's values)
(variable Registered was str7, now str17 to accommodate using data's values)
(variable Elsystem was str1, now str2 to accommodate using data's values)
(variable First was str4, now str17 to accommodate using data's values)
(variable Second was str4, now str17 to accommodate using data's values)
(variable Source was str83, now str270 to accommodate using data's values)
(variable Visited was str8, now str9 to accommodate using data's values)
(variable Comments was str1, now str237 to accommodate using data's values)
file electionsdata.dta saved

. 
. /* destring */
. destring Type Year Length Round Coverage_pop Coverage_dis Voted Registered Spoiled Blank Elsystem NonDem Turnout First Second, 
> replace force 
Type: all characters numeric; replaced as byte
Year: all characters numeric; replaced as int
Length: all characters numeric; replaced as byte
Round: all characters numeric; replaced as byte
Coverage_pop: contains nonnumeric characters; replaced as double
(38 missing values generated)
Coverage_dis: contains nonnumeric characters; replaced as double
(74 missing values generated)
Voted: contains nonnumeric characters; replaced as double
(72 missing values generated)
Registered: contains nonnumeric characters; replaced as double
(68 missing values generated)
Spoiled: contains nonnumeric characters; replaced as double
(318 missing values generated)
Blank: contains nonnumeric characters; replaced as double
(700 missing values generated)
Elsystem: contains nonnumeric characters; replaced as byte
(34 missing values generated)
NonDem: all characters numeric; replaced as byte
(3 missing values generated)
Turnout: contains nonnumeric characters; replaced as double
(54 missing values generated)
First: contains nonnumeric characters; replaced as double
(212 missing values generated)
Second: contains nonnumeric characters; replaced as double
(213 missing values generated)

. 
. /* date, 2019 as a limit date to indicate Stata the first two digits for year */
. gen     date = date(Date, "DMY", 2019)
(2 missing values generated)

.  
. /* Completing missing dava on population coverage (France & Greece) by the average coverage in the available  elections */
. 
. * France cantonal
. gen missing_info_cov = . // Generating a filter that will allows us to exclude these elections from the analysis in robustness 
> checks 
(999 missing values generated)

. replace missing_info_cov = 1 if Coverage_pop ==. & Coverage_dis==.
(37 real changes made)

. lab var missing_info_cov "Observations where population coverage is missing or was estimated"

. replace Coverage_pop = 35.5 if Coverage_pop == . & Country == "FR" & Type == 7
(9 real changes made)

. 
. * France municipal
. replace Coverage_pop = 39.2 if Coverage_pop == . & Country == "FR" & Type == 8
(11 real changes made)

. 
. * Greece local
. replace Coverage_pop = 93.8 if Coverage_pop == . & Country == "GR" & Type == 6
(5 real changes made)

. 
. * Greece municipal
. replace Coverage_pop = 62 if Coverage_pop == . & Country == "GR" & Type == 8
(7 real changes made)

. 
. 
. /* clean & label */
. drop V-AE 

. 
. label var Length "Number of days"

. label var Round "1st/2nd round"

. label var Coverage_pop "Population coverage in %"

. label var Coverage_dis "District coverage in %"

. label var Elsystem "Electoral system"

. label var First "Score of the first party/candidate in %"

. label var Second "Score of the second party/candidate in %"

. rename NonDem Nondem

. label var Nondem "Elections Character"

. label var date "Stata Date"

. 
. * Type values
. label de Type 1 "Presidential" 2 "Lowerhouse" 3 "Upperhouse" 4 "Referendum" 5 "European" 6 "Regional" 7 "Local" 8 "Municipal" 1
> 0 "Others", replace

. label val Type Type

. 
. * Elsystem values
. label de Elsystem 1 "Majoritarian" 2 "Proportional" 3 "Mixed" 

. label val Elsystem Elsystem

. 
. * Nondem values
. label de Nondem 0 "Dem" 1 "Nondem" 

. label val Nondem Nondem

. 
. save `"${beg_path}Data\Analysis 1\electionsdata.dta"', replace
file C:\Users\fkostelk\Dropbox\Replication_EF\Data\Analysis 1\electionsdata.dta saved

. 
. 
. 
. 
. 
. 
. 
. 
. 
end of do-file

. do "C:\Users\fkostelk\Dropbox\Replication_EF\Code\1_1_CEE.do"

. *********************************************************************************
. *                                                                               *
. *                Election Frequency - Preparing the Dataset                         *
. *                                                                               *
. *                        Import from Excel                                                                              *
. *                                                          CEE DATA                                                     *
. *                                                                               *
. *********************************************************************************
. 
. * Setting the beginning of the path *
. global beg_path `"C:\Users\fkostelk\Dropbox\Replication_EF\"'  

.  
. * Working Directory *
. cd `"${beg_path}Data\Analysis 1\Collection\"'
C:\Users\fkostelk\Dropbox\Replication_EF\Data\Analysis 1\Collection

.  
. * Importing CEE data *
. import excel using CEE_electiondata.xlsx, ///
>          sheet(Data) firstrow all clear 
(15 vars, 538 obs)

.                  
. /* Destring */
. destring Year Length Round Type El_Type Share_Elect Turnout Non_Dem First Second Elsystem, replace force  
Year: all characters numeric; replaced as int
Length: all characters numeric; replaced as byte
Round: all characters numeric; replaced as byte
(538 missing values generated)
Type: all characters numeric; replaced as byte
(538 missing values generated)
El_Type: all characters numeric; replaced as byte
Share_Elect: all characters numeric; replaced as double
(2 missing values generated)
Turnout: all characters numeric; replaced as double
(5 missing values generated)
Non_Dem: all characters numeric; replaced as byte
First: all characters numeric; replaced as double
(376 missing values generated)
Second: all characters numeric; replaced as double
(376 missing values generated)
Elsystem: all characters numeric; replaced as byte
(452 missing values generated)

. 
. /* Date, 2019 as a limit date to indicate Stata the first two digits for year */
. gen     date = date(Date, "DMY", 2019)

. order date, after(Date)

. 
. *Rename 
. rename (Non_Dem Share_Elect) (Nondem Coverage_pop)

. 
. ***Generate Type & Round ***
. replace Type = 1 if inlist(El_Type, 5, 6)
(77 real changes made)

. replace Type = 2 if inlist(El_Type, 1, 2)
(118 real changes made)

. replace Type = 3 if inlist(El_Type, 3, 4)
(26 real changes made)

. replace Type = 4 if inlist(El_Type, 7)
(115 real changes made)

. replace Type = 5 if inlist(El_Type, 12)
(40 real changes made)

. replace Type = 6 if inlist(El_Type, 10, 11)
(31 real changes made)

. replace Type = 7 if inlist(El_Type, 8, 9)
(18 real changes made)

. replace Type = 8 if inlist(El_Type, 13, 14)
(113 real changes made)

. 
. replace Round = 1 
(538 real changes made)

. replace Round = 2 if inlist(El_Type, 2, 4, 6, 9, 11, 14)
(96 real changes made)

. 
. gen missing_info_cov = .
(538 missing values generated)

. replace missing_info_cov = 1 if Coverage_pop ==. 
(2 real changes made)

. lab var missing_info_cov "Observations where population coverage is missing or was estimated"

. 
. *Estimating population coverage Lithuania
. replace Coverage_pop = 0.5 if Country == "Lithuania" & Year == 1990 & El_Type == 14 
(1 real change made)

. replace Coverage_pop = 0.61 if  Country == "Bulgaria" & Year == 2011 & El_Type == 14  
(1 real change made)

. 
. * Country (the codes start from twenty since, for Western countries, the codes range from 1 to 12) 
. encode Country, gen(temp1)  

. drop Country

. label define Country 21 "Bulgaria" 22 "Czech Republic" 23  "Estonia" 24  "Hungary" 25  "Latvia" 26  "Lithuania" 27  "Poland" 28
>   "Romania" 29  "Slovakia" 30 "Slovenia" 

. gen Country = temp1+20  

. label values Country Country

. fre Country

Country
-----------------------------------------------------------------------
                          |      Freq.    Percent      Valid       Cum.
--------------------------+--------------------------------------------
Valid   21 Bulgaria       |         51       9.48       9.48       9.48
        22 Czech Republic |         59      10.97      10.97      20.45
        23 Estonia        |         30       5.58       5.58      26.02
        24 Hungary        |         49       9.11       9.11      35.13
        25 Latvia         |         35       6.51       6.51      41.64
        26 Lithuania      |         60      11.15      11.15      52.79
        27 Poland         |         68      12.64      12.64      65.43
        28 Romania        |         59      10.97      10.97      76.39
        29 Slovakia       |         62      11.52      11.52      87.92
        30 Slovenia       |         65      12.08      12.08     100.00
        Total             |        538     100.00     100.00           
-----------------------------------------------------------------------

. drop temp1

. 
. /* clean & label */
. label var Length "Number of days"

. label var Round "1st/2nd round"

. label var Coverage_pop "Population coverage in %"

. label var Nondem "Elections Character"

. label var date "Stata Date"

.  
. * Type values
. label de Type 1 "Presidential" 2 "Lowerhouse" 3 "Upperhouse" 4 "Referendum" 5 "European" 6 "Regional" 7 "Local" 8 "Municipal" 1
> 0 "Others", replace

. label val Type Type

. 
. 
. * Nondem values
. label de Nondem 0 "Dem" 1 "Nondem" 

. label val Nondem Nondem

. 
. save `"${beg_path}Data\Analysis 1\electionsdata_CEE.dta"', replace
file C:\Users\fkostelk\Dropbox\Replication_EF\Data\Analysis 1\electionsdata_CEE.dta saved

. 
. 
. 
. 
end of do-file

. do "C:\Users\fkostelk\Dropbox\Replication_EF\Code\1_2.do"

. *********************************************************************************
. *                                                                               *
. *                Election Frequency - Preparing the Dataset                         *
. *                                                                               *
. *                     Dealing with Simultaneous Elections                       *
. *                                                                               *
. *********************************************************************************
. 
. global beg_path `"C:\Users\fkostelk\Dropbox\Replication_EF\"'  // F - Home

. 
. cd `"${beg_path}Data\Analysis 1\"'
C:\Users\fkostelk\Dropbox\Replication_EF\Data\Analysis 1

. use electionsdata.dta, clear

. 
. 
. /* Identifying simultaneous elections */
. by date Country, sort: gen nvals = _n == 1

. /* nvals is 1 whenever a value is first in its group and is 0 otherwise */
. count if nvals == 0     // total number of pairs
  178

. tab nvals Country

           |                                              Country
     nvals |        DK         ES         FI         FR         GR         IE         IS         MT         NL |     Total
-----------+---------------------------------------------------------------------------------------------------+----------
         0 |        31         29          1         11         17         24          2          7          3 |       178 
         1 |        72         82         66        147         54         70         69         37         75 |       821 
-----------+---------------------------------------------------------------------------------------------------+----------
     Total |       103        111         67        158         71         94         71         44         78 |       999 


           |             Country
     nvals |        NO         PT         SE |     Total
-----------+---------------------------------+----------
         0 |        12          4         37 |       178 
         1 |        43         64         42 |       821 
-----------+---------------------------------+----------
     Total |        55         68         79 |       999 

. sort Country date 

. list Country Type Year Date date nvals

     +------------------------------------------------------------+
     | Country           Type   Year         Date    date   nvals |
     |------------------------------------------------------------|
  1. |      DK     Lowerhouse   1939       3/4/39   -7578       1 |
  2. |      DK     Upperhouse   1939       3/4/39   -7578       0 |
  3. |      DK     Lowerhouse   1943      23/3/43   -6128       0 |
  4. |      DK     Upperhouse   1943      23/3/43   -6128       1 |
  5. |      DK      Municipal   1943       5/5/43   -6085       0 |
     |------------------------------------------------------------|
  6. |      DK       Regional   1943       5/5/43   -6085       1 |
  7. |      DK     Lowerhouse   1945     30/10/45   -5176       1 |
  8. |      DK       Regional   1946      12/3/46   -5043       1 |
  9. |      DK      Municipal   1946      12/3/46   -5043       0 |
 10. |      DK     Upperhouse   1947       1/4/47   -4658       1 |
     |------------------------------------------------------------|
 11. |      DK     Lowerhouse   1947     28/10/47   -4448       1 |
 12. |      DK      Municipal   1950      14/3/50   -3580       0 |
 13. |      DK       Regional   1950      14/3/50   -3580       1 |
 14. |      DK     Lowerhouse   1950       5/9/50   -3405       1 |
 15. |      DK     Upperhouse   1951       3/4/51   -3195       1 |
     |------------------------------------------------------------|
 16. |      DK     Upperhouse   1953      21/4/53   -2446       1 |
 17. |      DK     Lowerhouse   1953      21/4/53   -2446       0 |
 18. |      DK     Referendum   1953      28/5/53   -2409       0 |
 19. |      DK     Referendum   1953      28/5/53   -2409       1 |
 20. |      DK     Lowerhouse   1953      22/9/53   -2292       1 |
     |------------------------------------------------------------|
 21. |      DK       Regional   1954       2/3/54   -2131       0 |
 22. |      DK      Municipal   1954       2/3/54   -2131       1 |
 23. |      DK     Lowerhouse   1957      14/5/57    -962       1 |
 24. |      DK      Municipal   1958       4/3/58    -668       1 |
 25. |      DK       Regional   1958       4/3/58    -668       0 |
     |------------------------------------------------------------|
 26. |      DK     Lowerhouse   1960     15/11/60     319       1 |
 27. |      DK     Referendum   1961      30/5/61     515       1 |
 28. |      DK       Regional   1962       6/3/62     795       1 |
 29. |      DK      Municipal   1962       6/3/62     795       0 |
 30. |      DK     Referendum   1963      25/6/63    1271       0 |
     |------------------------------------------------------------|
 31. |      DK     Referendum   1963      25/6/63    1271       0 |
 32. |      DK     Referendum   1963      25/6/63    1271       1 |
 33. |      DK     Referendum   1963      25/6/63    1271       0 |
 34. |      DK     Lowerhouse   1964      22/9/64    1726       1 |
 35. |      DK       Regional   1966       8/3/66    2258       1 |
     |------------------------------------------------------------|
 36. |      DK      Municipal   1966       8/3/66    2258       0 |
 37. |      DK     Lowerhouse   1966     22/11/66    2517       1 |
 38. |      DK     Lowerhouse   1968      23/1/68    2944       1 |
 39. |      DK     Referendum   1969      24/6/69    3462       1 |
 40. |      DK      Municipal   1970       3/3/70    3714       0 |
     |------------------------------------------------------------|
 41. |      DK       Regional   1970       3/3/70    3714       1 |
 42. |      DK     Lowerhouse   1971      21/9/71    4281       0 |
 43. |      DK     Referendum   1971      21/9/71    4281       1 |
 44. |      DK     Referendum   1972      2/10/72    4658       1 |
 45. |      DK     Lowerhouse   1973      4/12/73    5086       1 |
     |------------------------------------------------------------|
 46. |      DK       Regional   1974       5/3/74    5177       1 |
 47. |      DK      Municipal   1974       5/3/74    5177       0 |
 48. |      DK     Lowerhouse   1975       9/1/75    5487       1 |
 49. |      DK     Lowerhouse   1977      15/2/77    6255       1 |
 50. |      DK      Municipal   1978       7/3/78    6640       0 |
     |------------------------------------------------------------|
 51. |      DK       Regional   1978       7/3/78    6640       1 |
 52. |      DK     Referendum   1978      19/9/78    6836       1 |
 53. |      DK       European   1979      10/6/79    7100       1 |
 54. |      DK     Lowerhouse   1979     23/10/79    7235       1 |
 55. |      DK      Municipal   1981     17/11/81    7991       0 |
     |------------------------------------------------------------|
 56. |      DK       Regional   1981     17/11/81    7991       1 |
 57. |      DK     Lowerhouse   1981      8/12/81    8012       1 |
 58. |      DK     Lowerhouse   1984      10/1/84    8775       1 |
 59. |      DK       European   1984      17/6/84    8934       1 |
 60. |      DK       Regional   1985     19/11/85    9454       1 |
     |------------------------------------------------------------|
 61. |      DK      Municipal   1985     19/11/85    9454       0 |
 62. |      DK     Referendum   1986      27/2/86    9554       1 |
 63. |      DK     Lowerhouse   1987       8/9/87   10112       1 |
 64. |      DK     Lowerhouse   1988      10/5/88   10357       1 |
 65. |      DK       European   1989      15/6/89   10758       1 |
     |------------------------------------------------------------|
 66. |      DK      Municipal   1989     21/11/89   10917       0 |
 67. |      DK       Regional   1989     21/11/89   10917       1 |
 68. |      DK     Lowerhouse   1990     12/12/90   11303       1 |
 69. |      DK     Referendum   1992       2/6/92   11841       1 |
 70. |      DK     Referendum   1993      18/5/93   12191       1 |
     |------------------------------------------------------------|
 71. |      DK       Regional   1993     16/11/93   12373       0 |
 72. |      DK      Municipal   1993     16/11/93   12373       1 |
 73. |      DK       European   1994       9/6/94   12578       1 |
 74. |      DK     Lowerhouse   1994      21/9/94   12682       1 |
 75. |      DK      Municipal   1997     18/11/97   13836       0 |
     |------------------------------------------------------------|
 76. |      DK       Regional   1997     18/11/97   13836       1 |
 77. |      DK     Lowerhouse   1998      11/3/98   13949       1 |
 78. |      DK     Referendum   1998      28/5/98   14027       1 |
 79. |      DK       European   1999      10/6/99   14405       1 |
 80. |      DK     Referendum   2000      28/9/00   14881       1 |
     |------------------------------------------------------------|
 81. |      DK      Municipal   2001     20/11/01   15299       0 |
 82. |      DK       Regional   2001     20/11/01   15299       0 |
 83. |      DK     Lowerhouse   2001     20/11/01   15299       1 |
 84. |      DK       European   2004      13/6/04   16235       1 |
 85. |      DK     Lowerhouse   2005       8/2/05   16475       1 |
     |------------------------------------------------------------|
 86. |      DK       Regional   2005     15/11/05   16755       0 |
 87. |      DK      Municipal   2005     15/11/05   16755       1 |
 88. |      DK     Lowerhouse   2007     13/11/07   17483       1 |
 89. |      DK       European   2009       7/6/09   18055       1 |
 90. |      DK     Referendum   2009       7/6/09   18055       0 |
     |------------------------------------------------------------|
 91. |      DK       Regional   2009     17/11/09   18218       0 |
 92. |      DK      Municipal   2009     17/11/09   18218       1 |
 93. |      DK     Lowerhouse   2011      15/9/11   18885       1 |
 94. |      DK       Regional   2013     19/11/13   19681       0 |
 95. |      DK      Municipal   2013     19/11/13   19681       1 |
     |------------------------------------------------------------|
 96. |      DK     Referendum   2014      25/5/14   19868       1 |
 97. |      DK       European   2014      25/5/14   19868       0 |
 98. |      DK     Lowerhouse   2015      18/6/15   20257       1 |
 99. |      DK     Referendum   2015      3/12/15   20425       1 |
100. |      DK      Municipal   2017     21/11/17   21144       1 |
     |------------------------------------------------------------|
101. |      DK       Regional   2017     21/11/17   21144       0 |
102. |      DK       European   2019      26/5/19   21695       1 |
103. |      DK     Lowerhouse   2019       5/6/19   21705       1 |
104. |      ES     Referendum   1947       6/7/47   -4562       1 |
105. |      ES     Referendum   1966     14/12/66    2539       1 |
     |------------------------------------------------------------|
106. |      ES      Municipal   1970   17/11/1970    3973       1 |
107. |      ES      Municipal   1973     13/11/73    5065       1 |
108. |      ES     Referendum   1976     15/12/76    6193       1 |
109. |      ES     Lowerhouse   1977      15/6/77    6375       1 |
110. |      ES     Upperhouse   1977      15/6/77    6375       0 |
     |------------------------------------------------------------|
111. |      ES     Referendum   1978      6/12/78    6914       1 |
112. |      ES     Upperhouse   1979       1/3/79    6999       1 |
113. |      ES     Lowerhouse   1979       1/3/79    6999       0 |
114. |      ES      Municipal   1979       3/4/79    7032       1 |
115. |      ES      Municipal   1987      10/6/79    7100       1 |
     |------------------------------------------------------------|
116. |      ES       Regional   1980       9/3/80    7373       1 |
117. |      ES       Regional   1980      20/3/80    7384       1 |
118. |      ES       Regional   1981     20/10/81    7963       1 |
119. |      ES       Regional   1982      23/5/82    8178       1 |
120. |      ES     Lowerhouse   1982     28/10/82    8336       1 |
     |------------------------------------------------------------|
121. |      ES     Upperhouse   1982     28/10/82    8336       0 |
122. |      ES      Municipal   1983       8/5/83    8528       1 |
123. |      ES       Regional   1983       8/5/83    8528       0 |
124. |      ES       Regional   1984      26/2/84    8822       1 |
125. |      ES       Regional   1984      29/4/84    8885       1 |
     |------------------------------------------------------------|
126. |      ES       Regional   1985     24/11/85    9459       1 |
127. |      ES     Referendum   1986      12/3/86    9567       1 |
128. |      ES     Lowerhouse   1986      22/6/86    9669       0 |
129. |      ES       Regional   1986      22/6/86    9669       0 |
130. |      ES     Upperhouse   1986      22/6/86    9669       1 |
     |------------------------------------------------------------|
131. |      ES       Regional   1986     30/11/86    9830       1 |
132. |      ES       European   1987      13/6/87   10025       1 |
133. |      ES       Regional   1987       6/7/87   10048       1 |
134. |      ES       Regional   1988      29/5/88   10376       1 |
135. |      ES       European   1989      15/6/89   10758       1 |
     |------------------------------------------------------------|
136. |      ES     Lowerhouse   1989     29/10/89   10894       1 |
137. |      ES     Upperhouse   1989     29/10/89   10894       0 |
138. |      ES       Regional   1989     17/12/89   10943       1 |
139. |      ES       Regional   1990      23/6/90   11131       1 |
140. |      ES       Regional   1990     28/10/90   11258       1 |
     |------------------------------------------------------------|
141. |      ES       Regional   1991      26/5/91   11468       1 |
142. |      ES      Municipal   1991      26/5/91   11468       0 |
143. |      ES       Regional   1992      15/3/92   11762       1 |
144. |      ES     Lowerhouse   1993       6/6/93   12210       0 |
145. |      ES     Upperhouse   1993       6/6/93   12210       1 |
     |------------------------------------------------------------|
146. |      ES       Regional   1993     17/10/93   12343       1 |
147. |      ES       European   1994      12/6/94   12581       1 |
148. |      ES       Regional   1994      12/6/94   12581       0 |
149. |      ES       Regional   1994     23/10/94   12714       1 |
150. |      ES      Municipal   1995      28/5/95   12931       1 |
     |------------------------------------------------------------|
151. |      ES       Regional   1995      26/6/95   12960       1 |
152. |      ES       Regional   1995     19/11/95   13106       1 |
153. |      ES       Regional   1996       3/3/96   13211       1 |
154. |      ES     Lowerhouse   1996       3/3/96   13211       0 |
155. |      ES     Upperhouse   1996       3/3/96   13211       0 |
     |------------------------------------------------------------|
156. |      ES       Regional   1997     19/10/97   13806       1 |
157. |      ES       Regional   1998     25/10/98   14177       1 |
158. |      ES       European   1999      13/6/99   14408       0 |
159. |      ES      Municipal   1999      13/6/99   14408       1 |
160. |      ES       Regional   1999       7/7/99   14432       1 |
     |------------------------------------------------------------|
161. |      ES       Regional   1999     17/10/99   14534       1 |
162. |      ES     Lowerhouse   2000      12/3/00   14681       1 |
163. |      ES       Regional   2000      12/3/00   14681       0 |
164. |      ES     Upperhouse   2000      12/3/00   14681       0 |
165. |      ES       Regional   2001      13/5/01   15108       1 |
     |------------------------------------------------------------|
166. |      ES       Regional   2001     21/10/01   15269       1 |
167. |      ES       Regional   2003      27/1/03   15732       1 |
168. |      ES      Municipal   2003      25/5/03   15850       1 |
169. |      ES       Regional   2003     26/10/03   16004       1 |
170. |      ES       Regional   2003     16/11/03   16025       1 |
     |------------------------------------------------------------|
171. |      ES     Upperhouse   2004      14/3/04   16144       1 |
172. |      ES       Regional   2004      14/3/04   16144       0 |
173. |      ES     Lowerhouse   2004      14/3/04   16144       0 |
174. |      ES       European   2004      13/6/04   16235       1 |
175. |      ES     Referendum   2005      20/2/05   16487       1 |
     |------------------------------------------------------------|
176. |      ES       Regional   2005      17/4/05   16543       1 |
177. |      ES       Regional   2005      19/6/05   16606       1 |
178. |      ES       Regional   2006      1/11/06   17106       1 |
179. |      ES       Regional   2007      27/5/07   17313       1 |
180. |      ES      Municipal   2007      27/7/07   17374       1 |
     |------------------------------------------------------------|
181. |      ES     Upperhouse   2008       9/3/08   17600       0 |
182. |      ES     Lowerhouse   2008       9/3/08   17600       0 |
183. |      ES       Regional   2008       9/3/08   17600       1 |
184. |      ES       Regional   2009       1/3/09   17957       1 |
185. |      ES       European   2009       7/6/09   18055       1 |
     |------------------------------------------------------------|
186. |      ES       Regional   2010     28/11/10   18594       1 |
187. |      ES      Municipal   2011      22/5/11   18769       0 |
188. |      ES       Regional   2011      22/5/11   18769       1 |
189. |      ES     Upperhouse   2011     20/11/11   18951       1 |
190. |      ES     Lowerhouse   2011     20/11/11   18951       0 |
     |------------------------------------------------------------|
191. |      ES       Regional   2012      25/3/12   19077       1 |
192. |      ES       Regional   2012     21/10/12   19287       1 |
193. |      ES       Regional   2012     25/11/12   19322       1 |
194. |      ES       European   2014      25/5/14   19868       1 |
195. |      ES       Regional   2015      22/3/15   20169       1 |
     |------------------------------------------------------------|
196. |      ES      Municipal   2015      24/5/15   20232       1 |
197. |      ES       Regional   2015      24/5/15   20232       0 |
198. |      ES       Regional   2015      27/9/15   20358       1 |
199. |      ES     Upperhouse   2015     20/12/15   20442       0 |
200. |      ES     Lowerhouse   2015     20/12/15   20442       1 |
     |------------------------------------------------------------|
201. |      ES     Lowerhouse   2016      26/6/16   20631       1 |
202. |      ES     Upperhouse   2016      26/6/16   20631       0 |
203. |      ES       Regional   2016      25/9/16   20722       1 |
204. |      ES       Regional   2017     21/12/17   21174       1 |
205. |      ES       Regional   2018      2/12/18   21520       1 |
     |------------------------------------------------------------|
206. |      ES     Upperhouse   2019      28/4/19   21667       1 |
207. |      ES     Lowerhouse   2019      28/4/19   21667       0 |
208. |      ES      Municipal   2019      26/5/19   21695       0 |
209. |      ES       Regional   2019      26/5/19   21695       1 |
210. |      ES       European   2019      26/5/19   21695       0 |
     |------------------------------------------------------------|
211. |      ES     Lowerhouse   2019     10/11/19   21863       0 |
212. |      ES     Upperhouse   2019     10/11/19   21863       1 |
213. |      ES     Lowerhouse   1971        26205       .       1 |
214. |      ES     Lowerhouse   1967        24755       .       0 |
215. |      FI     Lowerhouse   1936       2/7/36   -8583       1 |
     |------------------------------------------------------------|
216. |      FI      Municipal   1936      5/12/36   -8427       1 |
217. |      FI     Lowerhouse   1939       1/7/39   -7489       1 |
218. |      FI     Lowerhouse   1945      18/3/45   -5402       1 |
219. |      FI      Municipal   1945      5/12/45   -5140       1 |
220. |      FI      Municipal   1947      5/12/47   -4410       1 |
     |------------------------------------------------------------|
221. |      FI     Lowerhouse   1948       2/7/48   -4200       1 |
222. |      FI   Presidential   1950      17/1/50   -3636       1 |
223. |      FI      Municipal   1950      2/10/50   -3378       1 |
224. |      FI     Lowerhouse   1951       2/7/51   -3105       1 |
225. |      FI      Municipal   1953      5/10/53   -2279       1 |
     |------------------------------------------------------------|
226. |      FI     Lowerhouse   1954       8/3/54   -2125       1 |
227. |      FI   Presidential   1956      17/1/56   -1445       1 |
228. |      FI      Municipal   1956      8/10/56   -1180       1 |
229. |      FI     Lowerhouse   1958       7/7/58    -543       1 |
230. |      FI      Municipal   1960      3/10/60     276       1 |
     |------------------------------------------------------------|
231. |      FI   Presidential   1962      16/1/62     746       1 |
232. |      FI     Lowerhouse   1962       5/2/62     766       1 |
233. |      FI      Municipal   1964      5/10/64    1739       1 |
234. |      FI     Lowerhouse   1966      21/3/66    2271       1 |
235. |      FI   Presidential   1968      16/1/68    2937       1 |
     |------------------------------------------------------------|
236. |      FI      Municipal   1968      7/10/68    3202       1 |
237. |      FI     Lowerhouse   1970      16/3/70    3727       1 |
238. |      FI     Lowerhouse   1972       3/1/72    4385       1 |
239. |      FI      Municipal   1972      2/10/72    4658       1 |
240. |      FI     Lowerhouse   1975      22/9/75    5743       1 |
     |------------------------------------------------------------|
241. |      FI      Municipal   1976     18/10/76    6135       1 |
242. |      FI   Presidential   1978      17/1/78    6591       1 |
243. |      FI     Lowerhouse   1979      19/3/79    7017       1 |
244. |      FI      Municipal   1980     20/10/80    7598       1 |
245. |      FI   Presidential   1982      18/1/82    8053       1 |
     |------------------------------------------------------------|
246. |      FI     Lowerhouse   1983      21/3/83    8480       1 |
247. |      FI      Municipal   1984     22/10/84    9061       1 |
248. |      FI     Lowerhouse   1987      16/3/87    9936       1 |
249. |      FI   Presidential   1988       1/2/88   10258       1 |
250. |      FI      Municipal   1988     17/10/88   10517       1 |
     |------------------------------------------------------------|
251. |      FI     Lowerhouse   1991      17/3/91   11398       1 |
252. |      FI      Municipal   1992     18/10/92   11979       1 |
253. |      FI   Presidential   1994      16/1/94   12434       1 |
254. |      FI   Presidential   1994       6/2/94   12455       1 |
255. |      FI     Referendum   1994     26/10/94   12717       1 |
     |------------------------------------------------------------|
256. |      FI     Lowerhouse   1995      19/3/95   12861       1 |
257. |      FI      Municipal   1996     20/10/96   13442       0 |
258. |      FI       European   1996     20/10/96   13442       1 |
259. |      FI     Lowerhouse   1999      21/3/99   14324       1 |
260. |      FI       European   1999      13/6/99   14408       1 |
     |------------------------------------------------------------|
261. |      FI   Presidential   2000      16/1/00   14625       1 |
262. |      FI   Presidential   2000       6/2/00   14646       1 |
263. |      FI      Municipal   2000     22/10/00   14905       1 |
264. |      FI     Lowerhouse   2003      16/3/03   15780       1 |
265. |      FI       European   2004      13/6/04   16235       1 |
     |------------------------------------------------------------|
266. |      FI      Municipal   2004     24/10/04   16368       1 |
267. |      FI   Presidential   2006      15/1/06   16816       1 |
268. |      FI   Presidential   2006      29/1/06   16830       1 |
269. |      FI     Lowerhouse   2007      18/3/07   17243       1 |
270. |      FI      Municipal   2008     26/10/08   17831       1 |
     |------------------------------------------------------------|
271. |      FI       European   2009       7/6/09   18055       1 |
272. |      FI     Lowerhouse   2011      17/4/11   18734       1 |
273. |      FI   Presidential   2012      22/1/12   19014       1 |
274. |      FI   Presidential   2012       5/2/12   19028       1 |
275. |      FI      Municipal   2012     28/10/12   19294       1 |
     |------------------------------------------------------------|
276. |      FI       European   2014      25/5/14   19868       1 |
277. |      FI     Lowerhouse   2015    19apr2015   20197       1 |
278. |      FI      Municipal   2017       9/4/17   20918       1 |
279. |      FI   Presidential   2018      28/1/18   21212       1 |
280. |      FI     Lowerhouse   2019      14/4/19   21653       1 |
     |------------------------------------------------------------|
281. |      FI       European   2019      26/5/19   21695       1 |
282. |      FR      Municipal   1945      29/4/45   -5360       1 |
283. |      FR      Municipal   1945      13/5/45   -5346       1 |
284. |      FR          Local   1945      23/9/45   -5213       1 |
285. |      FR          Local   1945      30/9/45   -5206       1 |
     |------------------------------------------------------------|
286. |      FR     Referendum   1945     21/10/45   -5185       0 |
287. |      FR     Lowerhouse   1945     21/10/45   -5185       1 |
288. |      FR     Referendum   1945     21/10/45   -5185       0 |
289. |      FR     Referendum   1946       5/5/46   -4989       1 |
290. |      FR     Lowerhouse   1946       2/6/46   -4961       1 |
     |------------------------------------------------------------|
291. |      FR     Referendum   1946     13/10/46   -4828       1 |
292. |      FR     Lowerhouse   1946     10/11/46   -4800       1 |
293. |      FR      Municipal   1947     19/10/47   -4457       1 |
294. |      FR      Municipal   1947     26/10/47   -4450       1 |
295. |      FR          Local   1949      20/3/49   -3939       1 |
     |------------------------------------------------------------|
296. |      FR          Local   1949      27/3/49   -3932       1 |
297. |      FR     Lowerhouse   1951      17/6/51   -3120       1 |
298. |      FR          Local   1951      7/10/51   -3008       1 |
299. |      FR          Local   1951     14/10/51   -3001       1 |
300. |      FR      Municipal   1953      26/4/53   -2441       1 |
     |------------------------------------------------------------|
301. |      FR      Municipal   1953       3/5/53   -2434       1 |
302. |      FR          Local   1955      17/4/55   -1720       1 |
303. |      FR          Local   1955      24/4/55   -1713       1 |
304. |      FR     Lowerhouse   1956       2/1/56   -1460       1 |
305. |      FR          Local   1958      20/4/58    -621       1 |
     |------------------------------------------------------------|
306. |      FR          Local   1958      27/4/58    -614       1 |
307. |      FR     Referendum   1958      28/9/58    -460       1 |
308. |      FR     Lowerhouse   1958     23/11/58    -404       1 |
309. |      FR     Lowerhouse   1958     30/11/58    -397       1 |
310. |      FR      Municipal   1959       8/3/59    -299       1 |
     |------------------------------------------------------------|
311. |      FR      Municipal   1959      15/3/59    -292       1 |
312. |      FR     Referendum   1961       8/1/61     373       1 |
313. |      FR          Local   1961       4/6/61     520       1 |
314. |      FR          Local   1961      11/6/61     527       1 |
315. |      FR     Referendum   1962       8/4/62     828       1 |
     |------------------------------------------------------------|
316. |      FR     Referendum   1962     28/10/62    1031       1 |
317. |      FR     Lowerhouse   1962     18/11/62    1052       1 |
318. |      FR     Lowerhouse   1962     25/11/62    1059       1 |
319. |      FR          Local   1964       8/3/64    1528       1 |
320. |      FR          Local   1964      15/3/64    1535       1 |
     |------------------------------------------------------------|
321. |      FR      Municipal   1965      14/3/65    1899       1 |
322. |      FR      Municipal   1965      21/3/65    1906       1 |
323. |      FR   Presidential   1965      5/12/65    2165       1 |
324. |      FR   Presidential   1965     19/12/65    2179       1 |
325. |      FR     Lowerhouse   1967       5/3/67    2620       1 |
     |------------------------------------------------------------|
326. |      FR     Lowerhouse   1967      12/3/67    2627       1 |
327. |      FR          Local   1967      24/9/67    2823       1 |
328. |      FR          Local   1967      1/10/67    2830       1 |
329. |      FR     Lowerhouse   1968      23/6/68    3096       1 |
330. |      FR     Lowerhouse   1968      30/6/68    3103       1 |
     |------------------------------------------------------------|
331. |      FR     Referendum   1969      27/4/69    3404       1 |
332. |      FR   Presidential   1969       1/6/69    3439       1 |
333. |      FR   Presidential   1969      15/6/69    3453       1 |
334. |      FR          Local   1970      23/9/70    3918       1 |
335. |      FR          Local   1970      30/9/70    3925       1 |
     |------------------------------------------------------------|
336. |      FR      Municipal   1971      14/3/71    4090       1 |
337. |      FR      Municipal   1971      21/3/71    4097       1 |
338. |      FR     Referendum   1972      23/4/72    4496       1 |
339. |      FR     Lowerhouse   1973       4/3/73    4811       1 |
340. |      FR     Lowerhouse   1973      11/3/73    4818       1 |
     |------------------------------------------------------------|
341. |      FR          Local   1973      23/9/73    5014       1 |
342. |      FR          Local   1973      30/9/73    5021       1 |
343. |      FR   Presidential   1974       5/5/74    5238       1 |
344. |      FR   Presidential   1974      19/5/74    5252       1 |
345. |      FR          Local   1976       7/3/76    5910       1 |
     |------------------------------------------------------------|
346. |      FR          Local   1976      14/3/76    5917       1 |
347. |      FR      Municipal   1977      13/3/77    6281       1 |
348. |      FR      Municipal   1977      20/3/77    6288       1 |
349. |      FR     Lowerhouse   1978      12/3/78    6645       1 |
350. |      FR     Lowerhouse   1978      19/3/78    6652       1 |
     |------------------------------------------------------------|
351. |      FR          Local   1979      18/3/79    7016       1 |
352. |      FR          Local   1979      25/3/79    7023       1 |
353. |      FR       European   1979       7/6/79    7097       1 |
354. |      FR   Presidential   1981      24/4/81    7784       1 |
355. |      FR   Presidential   1981      10/5/81    7800       1 |
     |------------------------------------------------------------|
356. |      FR     Lowerhouse   1981      14/6/81    7835       1 |
357. |      FR     Lowerhouse   1981      21/6/81    7842       1 |
358. |      FR          Local   1982      14/3/82    8108       1 |
359. |      FR          Local   1982      21/3/82    8115       1 |
360. |      FR      Municipal   1983       6/3/83    8465       1 |
     |------------------------------------------------------------|
361. |      FR      Municipal   1983      13/3/83    8472       1 |
362. |      FR       European   1984      17/6/84    8934       1 |
363. |      FR          Local   1985      10/3/85    9200       1 |
364. |      FR          Local   1985      17/3/85    9207       1 |
365. |      FR       Regional   1986      16/3/86    9571       1 |
     |------------------------------------------------------------|
366. |      FR     Lowerhouse   1986      16/3/86    9571       0 |
367. |      FR   Presidential   1988      24/4/88   10341       1 |
368. |      FR   Presidential   1988       8/5/88   10355       1 |
369. |      FR     Lowerhouse   1988       5/6/88   10383       1 |
370. |      FR     Lowerhouse   1988      12/6/88   10390       1 |
     |------------------------------------------------------------|
371. |      FR          Local   1988      25/9/88   10495       1 |
372. |      FR          Local   1988      2/10/88   10502       1 |
373. |      FR     Referendum   1988      6/11/88   10537       1 |
374. |      FR      Municipal   1989      12/3/89   10663       1 |
375. |      FR      Municipal   1989      19/3/89   10670       1 |
     |------------------------------------------------------------|
376. |      FR       European   1989      18/6/89   10761       1 |
377. |      FR          Local   1992      22/3/92   11769       0 |
378. |      FR       Regional   1992      22/3/92   11769       1 |
379. |      FR          Local   1992      29/3/92   11776       1 |
380. |      FR     Referendum   1992      20/9/92   11951       1 |
     |------------------------------------------------------------|
381. |      FR     Lowerhouse   1993      21/3/93   12133       1 |
382. |      FR     Lowerhouse   1993      28/3/93   12140       1 |
383. |      FR          Local   1994      20/3/94   12497       1 |
384. |      FR          Local   1994      27/3/94   12504       1 |
385. |      FR       European   1994      12/6/94   12581       1 |
     |------------------------------------------------------------|
386. |      FR   Presidential   1995      23/4/95   12896       1 |
387. |      FR   Presidential   1995       7/5/95   12910       1 |
388. |      FR      Municipal   1995      11/6/95   12945       1 |
389. |      FR      Municipal   1995      18/6/95   12952       1 |
390. |      FR     Lowerhouse   1997      25/5/97   13659       1 |
     |------------------------------------------------------------|
391. |      FR     Lowerhouse   1997       1/6/97   13666       1 |
392. |      FR          Local   1998      15/3/98   13953       1 |
393. |      FR       Regional   1998      15/3/98   13953       0 |
394. |      FR          Local   1998      22/3/98   13960       1 |
395. |      FR       European   1999      13/6/99   14408       1 |
     |------------------------------------------------------------|
396. |      FR     Referendum   2000      24/9/00   14877       1 |
397. |      FR          Local   2001      11/3/01   15045       0 |
398. |      FR      Municipal   2001      11/3/01   15045       1 |
399. |      FR          Local   2001      18/3/01   15052       1 |
400. |      FR      Municipal   2001      18/3/01   15052       0 |
     |------------------------------------------------------------|
401. |      FR   Presidential   2002      21/4/02   15451       1 |
402. |      FR   Presidential   2002       5/5/02   15465       1 |
403. |      FR     Lowerhouse   2002       9/6/02   15500       1 |
404. |      FR     Lowerhouse   2002      16/6/02   15507       1 |
405. |      FR          Local   2004      21/3/04   16151       1 |
     |------------------------------------------------------------|
406. |      FR       Regional   2004      21/3/04   16151       0 |
407. |      FR          Local   2004      28/3/04   16158       1 |
408. |      FR       Regional   2004      28/3/04   16158       0 |
409. |      FR       European   2004      13/6/04   16235       1 |
410. |      FR     Referendum   2005      29/5/05   16585       1 |
     |------------------------------------------------------------|
411. |      FR   Presidential   2007      22/4/07   17278       1 |
412. |      FR   Presidential   2007       6/5/07   17292       1 |
413. |      FR     Lowerhouse   2007      10/6/07   17327       1 |
414. |      FR     Lowerhouse   2007      17/6/07   17334       1 |
415. |      FR      Municipal   2008       9/3/08   17600       1 |
     |------------------------------------------------------------|
416. |      FR          Local   2008       9/3/08   17600       0 |
417. |      FR          Local   2008      16/3/08   17607       1 |
418. |      FR      Municipal   2008      16/3/08   17607       0 |
419. |      FR       European   2009       7/6/09   18055       1 |
420. |      FR       Regional   2010      14/3/10   18335       1 |
     |------------------------------------------------------------|
421. |      FR       Regional   2010      21/3/10   18342       1 |
422. |      FR          Local   2011      20/3/11   18706       1 |
423. |      FR          Local   2011      27/3/11   18713       1 |
424. |      FR   Presidential   2012      22/4/12   19105       1 |
425. |      FR   Presidential   2012       6/5/12   19119       1 |
     |------------------------------------------------------------|
426. |      FR     Lowerhouse   2012      10/6/12   19154       1 |
427. |      FR     Lowerhouse   2012      17/6/12   19161       1 |
428. |      FR      Municipal   2014      23/3/14   19805       1 |
429. |      FR      Municipal   2014      30/3/14   19812       1 |
430. |      FR       European   2014      25/5/14   19868       1 |
     |------------------------------------------------------------|
431. |      FR          Local   2015      22/3/15   20169       1 |
432. |      FR          Local   2015      29/3/15   20176       1 |
433. |      FR       Regional   2015      6/12/15   20428       1 |
434. |      FR       Regional   2015     13/12/15   20435       1 |
435. |      FR   Presidential   2017      23/4/17   20932       1 |
     |------------------------------------------------------------|
436. |      FR   Presidential   2017       7/5/17   20946       1 |
437. |      FR     Lowerhouse   2017      11/6/17   20981       1 |
438. |      FR     Lowerhouse   2017      18/6/17   20988       1 |
439. |      FR       European   2019      26/5/19   21695       1 |
440. |      GR     Lowerhouse   1964      19/2/64    1510       1 |
     |------------------------------------------------------------|
441. |      GR      Municipal   1964       5/7/64    1647       1 |
442. |      GR     Referendum   1968     15/11/68    3241       1 |
443. |      GR     Referendum   1973      29/7/73    4958       1 |
444. |      GR     Lowerhouse   1974     17/11/74    5434       1 |
445. |      GR     Referendum   1974      8/12/74    5455       1 |
     |------------------------------------------------------------|
446. |      GR      Municipal   1975      30/3/75    5567       1 |
447. |      GR      Municipal   1975       6/4/75    5574       1 |
448. |      GR     Lowerhouse   1977     20/11/77    6533       1 |
449. |      GR      Municipal   1978     15/10/78    6862       1 |
450. |      GR      Municipal   1978     22/10/78    6869       1 |
     |------------------------------------------------------------|
451. |      GR     Lowerhouse   1981     18/10/81    7961       1 |
452. |      GR       European   1981     18/10/81    7961       0 |
453. |      GR      Municipal   1982     17/10/82    8325       1 |
454. |      GR      Municipal   1982     24/10/82    8332       1 |
455. |      GR       European   1984      17/6/84    8934       1 |
     |------------------------------------------------------------|
456. |      GR     Lowerhouse   1985       2/6/85    9284       1 |
457. |      GR      Municipal   1986     12/10/86    9781       1 |
458. |      GR      Municipal   1986     19/10/86    9788       1 |
459. |      GR       European   1989      15/6/89   10758       1 |
460. |      GR     Lowerhouse   1989      18/6/89   10761       1 |
     |------------------------------------------------------------|
461. |      GR     Lowerhouse   1989      5/11/89   10901       1 |
462. |      GR     Lowerhouse   1990       8/4/90   11055       1 |
463. |      GR      Municipal   1990     14/10/90   11244       1 |
464. |      GR      Municipal   1990     21/10/90   11251       1 |
465. |      GR     Lowerhouse   1993     10/10/93   12336       1 |
     |------------------------------------------------------------|
466. |      GR       European   1994      12/6/94   12581       1 |
467. |      GR       Regional   1994     16/10/94   12707       1 |
468. |      GR      Municipal   1994     16/10/94   12707       0 |
469. |      GR       Regional   1994     23/10/94   12714       1 |
470. |      GR      Municipal   1994     23/10/94   12714       0 |
     |------------------------------------------------------------|
471. |      GR     Lowerhouse   1996      22/9/96   13414       1 |
472. |      GR      Municipal   1998     11/10/98   14163       1 |
473. |      GR       Regional   1998     11/10/98   14163       0 |
474. |      GR       Regional   1998     18/10/98   14170       1 |
475. |      GR      Municipal   1998     18/10/98   14170       0 |
     |------------------------------------------------------------|
476. |      GR       European   1999      13/6/99   14408       1 |
477. |      GR     Lowerhouse   2000       9/4/00   14709       1 |
478. |      GR      Municipal   2002     13/10/02   15626       0 |
479. |      GR       Regional   2002     13/10/02   15626       1 |
480. |      GR      Municipal   2002     20/10/02   15633       1 |
     |------------------------------------------------------------|
481. |      GR       Regional   2002     20/10/02   15633       0 |
482. |      GR     Lowerhouse   2004       7/3/04   16137       1 |
483. |      GR       European   2004      13/6/04   16235       1 |
484. |      GR       Regional   2006     15/10/06   17089       0 |
485. |      GR      Municipal   2006     15/10/06   17089       1 |
     |------------------------------------------------------------|
486. |      GR       Regional   2006     22/10/06   17096       0 |
487. |      GR      Municipal   2006     22/10/06   17096       1 |
488. |      GR     Lowerhouse   2007      16/9/07   17425       1 |
489. |      GR       European   2009       7/6/09   18055       1 |
490. |      GR     Lowerhouse   2009      4/10/09   18174       1 |
     |------------------------------------------------------------|
491. |      GR       Regional   2010      7/11/10   18573       1 |
492. |      GR      Municipal   2010      7/11/10   18573       0 |
493. |      GR      Municipal   2010     14/11/10   18580       1 |
494. |      GR       Regional   2010     14/11/10   18580       0 |
495. |      GR     Lowerhouse   2012       6/5/12   19119       1 |
     |------------------------------------------------------------|
496. |      GR     Lowerhouse   2012      17/6/12   19161       1 |
497. |      GR       Regional   2014      18/5/14   19861       1 |
498. |      GR      Municipal   2014      18/5/14   19861       0 |
499. |      GR      Municipal   2014      25/5/14   19868       0 |
500. |      GR       Regional   2014      25/5/14   19868       1 |
     |------------------------------------------------------------|
501. |      GR       European   2014      25/5/14   19868       0 |
502. |      GR     Lowerhouse   2015      25/1/15   20113       1 |
503. |      GR     Referendum   2015       5/7/15   20274       1 |
504. |      GR     Lowerhouse   2015      20/9/15   20351       1 |
505. |      GR      Municipal   2019      26/5/19   21695       1 |
     |------------------------------------------------------------|
506. |      GR       Regional   2019      26/5/19   21695       0 |
507. |      GR       European   2019      26/5/19   21695       0 |
508. |      GR       Regional   2019       2/6/19   21702       1 |
509. |      GR      Municipal   2019       2/6/19   21702       0 |
510. |      GR     Lowerhouse   2019       7/7/19   21737       1 |
     |------------------------------------------------------------|
511. |      IE          Local   1942      19/8/42   -6344       1 |
512. |      IE     Lowerhouse   1943      23/6/43   -6036       1 |
513. |      IE     Lowerhouse   1944      30/5/44   -5694       1 |
514. |      IE          Local   1945      14/5/45   -5345       1 |
515. |      IE   Presidential   1945      14/6/45   -5314       1 |
     |------------------------------------------------------------|
516. |      IE     Lowerhouse   1948       4/2/48   -4349       1 |
517. |      IE          Local   1950      20/9/50   -3390       1 |
518. |      IE     Lowerhouse   1951      30/5/51   -3138       1 |
519. |      IE     Lowerhouse   1954      18/5/54   -2054       1 |
520. |      IE          Local   1955      30/6/55   -1646       1 |
     |------------------------------------------------------------|
521. |      IE     Lowerhouse   1957       5/3/57   -1032       1 |
522. |      IE   Presidential   1959      17/6/59    -198       0 |
523. |      IE     Referendum   1959      17/6/59    -198       1 |
524. |      IE          Local   1960      29/6/60     180       1 |
525. |      IE     Lowerhouse   1961      4/10/61     642       1 |
     |------------------------------------------------------------|
526. |      IE     Lowerhouse   1965       7/4/65    1923       1 |
527. |      IE   Presidential   1966       1/6/66    2343       1 |
528. |      IE          Local   1967      28/6/67    2735       1 |
529. |      IE     Referendum   1968     16/10/68    3211       1 |
530. |      IE     Lowerhouse   1969      18/6/69    3456       1 |
     |------------------------------------------------------------|
531. |      IE     Referendum   1972      10/5/72    4513       1 |
532. |      IE     Referendum   1972      7/12/72    4724       0 |
533. |      IE     Referendum   1972      7/12/72    4724       1 |
534. |      IE     Lowerhouse   1973      28/2/73    4807       1 |
535. |      IE   Presidential   1973      20/5/73    4888       1 |
     |------------------------------------------------------------|
536. |      IE          Local   1974      18/6/74    5282       1 |
537. |      IE     Lowerhouse   1977      16/6/77    6376       1 |
538. |      IE     Referendum   1979       5/6/79    7095       0 |
539. |      IE     Referendum   1979       5/6/79    7095       1 |
540. |      IE       European   1979       7/6/79    7097       1 |
     |------------------------------------------------------------|
541. |      IE          Local   1979       7/6/79    7097       0 |
542. |      IE     Lowerhouse   1981      11/6/81    7832       1 |
543. |      IE     Lowerhouse   1982      18/2/82    8084       1 |
544. |      IE     Lowerhouse   1982     24/11/82    8363       1 |
545. |      IE     Referendum   1983       7/9/83    8650       1 |
     |------------------------------------------------------------|
546. |      IE     Referendum   1984      14/6/84    8931       1 |
547. |      IE       European   1984      17/6/84    8934       1 |
548. |      IE          Local   1985      20/6/85    9302       1 |
549. |      IE     Referendum   1986      26/6/86    9673       1 |
550. |      IE     Lowerhouse   1987      17/2/87    9909       1 |
     |------------------------------------------------------------|
551. |      IE     Referendum   1987      26/5/87   10007       1 |
552. |      IE       European   1989      15/6/89   10758       1 |
553. |      IE     Lowerhouse   1989      15/6/89   10758       0 |
554. |      IE   Presidential   1990      7/11/90   11268       1 |
555. |      IE     Referendum   1992      18/6/91   11491       1 |
     |------------------------------------------------------------|
556. |      IE          Local   1991      27/6/91   11500       1 |
557. |      IE     Referendum   1992     25/11/92   12017       0 |
558. |      IE     Referendum   1992     25/11/92   12017       0 |
559. |      IE     Lowerhouse   1992     25/11/92   12017       1 |
560. |      IE     Referendum   1992     25/11/92   12017       0 |
     |------------------------------------------------------------|
561. |      IE       European   1994       9/6/94   12578       1 |
562. |      IE     Referendum   1995     24/11/95   13111       1 |
563. |      IE     Referendum   1996     29/11/96   13482       1 |
564. |      IE     Lowerhouse   1997       6/6/97   13671       1 |
565. |      IE     Referendum   1997     30/10/97   13817       0 |
     |------------------------------------------------------------|
566. |      IE   Presidential   1997     30/10/97   13817       1 |
567. |      IE     Referendum   1998      22/5/98   14021       0 |
568. |      IE     Referendum   1998      22/5/98   14021       1 |
569. |      IE          Local   1999      10/6/99   14405       1 |
570. |      IE       European   1999      10/6/99   14405       0 |
     |------------------------------------------------------------|
571. |      IE     Referendum   1999      11/6/99   14406       1 |
572. |      IE     Referendum   2001       7/6/01   15133       0 |
573. |      IE     Referendum   2001       7/6/01   15133       1 |
574. |      IE     Referendum   2001       7/6/01   15133       0 |
575. |      IE     Referendum   2002       6/3/02   15405       1 |
     |------------------------------------------------------------|
576. |      IE     Lowerhouse   2002      17/5/02   15477       1 |
577. |      IE     Referendum   2002     19/10/02   15632       1 |
578. |      IE       European   2004      11/6/04   16233       0 |
579. |      IE          Local   2004      11/6/04   16233       1 |
580. |      IE     Referendum   2004      11/6/04   16233       0 |
     |------------------------------------------------------------|
581. |      IE     Lowerhouse   2007      24/5/07   17310       1 |
582. |      IE     Referendum   2008      12/6/08   17695       1 |
583. |      IE       European   2009       5/6/09   18053       1 |
584. |      IE          Local   2009       5/6/09   18053       0 |
585. |      IE     Referendum   2009      2/10/09   18172       1 |
     |------------------------------------------------------------|
586. |      IE     Lowerhouse   2011      25/2/11   18683       1 |
587. |      IE     Referendum   2011     27/10/11   18927       0 |
588. |      IE   Presidential   2011     27/10/11   18927       1 |
589. |      IE     Referendum   2011     27/10/11   18927       0 |
590. |      IE     Referendum   2012      31/5/12   19144       1 |
     |------------------------------------------------------------|
591. |      IE     Referendum   2012     10/11/12   19307       1 |
592. |      IE     Referendum   2013      4/10/13   19635       1 |
593. |      IE     Referendum   2013      4/10/13   19635       0 |
594. |      IE       European   2014      23/5/14   19866       1 |
595. |      IE          Local   2014      23/5/14   19866       0 |
     |------------------------------------------------------------|
596. |      IE     Referendum   2015      22/5/15   20230       1 |
597. |      IE     Referendum   2015      22/5/15   20230       0 |
598. |      IE     Lowerhouse   2016      26/2/16   20510       1 |
599. |      IE     Referendum   2018      25/5/18   21329       1 |
600. |      IE   Presidential   2018     26/10/18   21483       0 |
     |------------------------------------------------------------|
601. |      IE     Referendum   2018     26/10/18   21483       1 |
602. |      IE     Referendum   2019      24/5/19   21693       1 |
603. |      IE          Local   2019      24/5/19   21693       0 |
604. |      IE       European   2019      24/5/19   21693       0 |
605. |      IS      Municipal   1942      25/1/42   -6550       1 |
     |------------------------------------------------------------|
606. |      IS      Municipal   1942      15/3/42   -6501       1 |
607. |      IS     Lowerhouse   1942       5/6/42   -6419       1 |
608. |      IS     Lowerhouse   1942     19/10/42   -6283       1 |
609. |      IS     Referendum   1944      23/5/44   -5701       1 |
610. |      IS      Municipal   1946      27/1/46   -5087       1 |
     |------------------------------------------------------------|
611. |      IS     Lowerhouse   1946      30/6/46   -4933       1 |
612. |      IS      Municipal   1946       7/7/46   -4926       1 |
613. |      IS     Lowerhouse   1949     24/10/49   -3721       1 |
614. |      IS      Municipal   1950      29/1/50   -3624       1 |
615. |      IS      Municipal   1950      25/6/50   -3477       1 |
     |------------------------------------------------------------|
616. |      IS   Presidential   1952      29/6/52   -2742       1 |
617. |      IS     Lowerhouse   1953      28/6/53   -2378       1 |
618. |      IS      Municipal   1954      31/1/54   -2161       1 |
619. |      IS      Municipal   1954      27/6/54   -2014       1 |
620. |      IS     Lowerhouse   1956      24/6/56   -1286       1 |
     |------------------------------------------------------------|
621. |      IS      Municipal   1958      26/1/58    -705       1 |
622. |      IS      Municipal   1958      29/6/58    -551       1 |
623. |      IS     Lowerhouse   1959      28/6/59    -187       1 |
624. |      IS     Lowerhouse   1959     26/10/59     -67       1 |
625. |      IS      Municipal   1962      27/5/62     877       1 |
     |------------------------------------------------------------|
626. |      IS      Municipal   1962      24/6/62     905       1 |
627. |      IS     Lowerhouse   1963       9/6/63    1255       1 |
628. |      IS      Municipal   1966      22/5/66    2333       1 |
629. |      IS      Municipal   1966      26/6/66    2368       1 |
630. |      IS     Lowerhouse   1967      11/6/67    2718       1 |
     |------------------------------------------------------------|
631. |      IS   Presidential   1968      30/6/68    3103       1 |
632. |      IS      Municipal   1970      31/5/70    3803       1 |
633. |      IS      Municipal   1970      28/6/70    3831       1 |
634. |      IS     Lowerhouse   1971      13/6/71    4181       1 |
635. |      IS      Municipal   1974      26/5/74    5259       1 |
     |------------------------------------------------------------|
636. |      IS     Lowerhouse   1974      30/6/74    5294       1 |
637. |      IS      Municipal   1974      30/6/74    5294       0 |
638. |      IS      Municipal   1978      28/5/78    6722       1 |
639. |      IS      Municipal   1978      25/6/78    6750       0 |
640. |      IS     Lowerhouse   1978      25/6/78    6750       1 |
     |------------------------------------------------------------|
641. |      IS     Lowerhouse   1979      3/12/79    7276       1 |
642. |      IS   Presidential   1980      29/6/80    7485       1 |
643. |      IS      Municipal   1982      22/5/82    8177       1 |
644. |      IS      Municipal   1982      26/6/82    8212       1 |
645. |      IS     Lowerhouse   1983      23/4/83    8513       1 |
     |------------------------------------------------------------|
646. |      IS      Municipal   1986      31/5/86    9647       1 |
647. |      IS      Municipal   1986      14/6/86    9661       1 |
648. |      IS     Lowerhouse   1987      25/4/87    9976       1 |
649. |      IS   Presidential   1988      25/6/88   10403       1 |
650. |      IS      Municipal   1990      26/5/90   11103       1 |
     |------------------------------------------------------------|
651. |      IS      Municipal   1990    09jun1990   11117       1 |
652. |      IS     Lowerhouse   1991      20/4/91   11432       1 |
653. |      IS      Municipal   1994      28/5/94   12566       1 |
654. |      IS     Lowerhouse   1995       8/5/95   12911       1 |
655. |      IS   Presidential   1996      29/6/96   13329       1 |
     |------------------------------------------------------------|
656. |      IS      Municipal   1998      23/5/98   14022       1 |
657. |      IS     Lowerhouse   1999       8/5/99   14372       1 |
658. |      IS      Municipal   2002      25/5/02   15485       1 |
659. |      IS     Lowerhouse   2003      10/5/03   15835       1 |
660. |      IS   Presidential   2004      26/6/04   16248       1 |
     |------------------------------------------------------------|
661. |      IS      Municipal   2006      27/5/06   16948       1 |
662. |      IS     Lowerhouse   2007      12/5/07   17298       1 |
663. |      IS     Lowerhouse   2009      25/4/09   18012       1 |
664. |      IS     Referendum   2010       6/3/10   18327       1 |
665. |      IS      Municipal   2010      29/5/10   18411       1 |
     |------------------------------------------------------------|
666. |      IS     Lowerhouse   2010     27/11/10   18593       1 |
667. |      IS     Referendum   2011       9/4/11   18726       1 |
668. |      IS   Presidential   2012      30/6/12   19174       1 |
669. |      IS     Referendum   2012     20/10/12   19286       1 |
670. |      IS     Lowerhouse   2013      27/4/13   19475       1 |
     |------------------------------------------------------------|
671. |      IS      Municipal   2014      31/5/14   19874       1 |
672. |      IS   Presidential   2016      25/6/16   20630       1 |
673. |      IS     Lowerhouse   2016     29/10/16   20756       1 |
674. |      IS     Lowerhouse   2017     28/10/17   21120       1 |
675. |      IS      Municipal   2018      26/5/18   21330       1 |
     |------------------------------------------------------------|
676. |      MT     Lowerhouse   1953     12/12/53   -2211       1 |
677. |      MT     Lowerhouse   1955      26/2/55   -1770       1 |
678. |      MT     Referendum   1956      11/2/56   -1420       1 |
679. |      MT     Lowerhouse   1962      17/2/62     778       1 |
680. |      MT     Referendum   1964       4/5/64    1585       1 |
     |------------------------------------------------------------|
681. |      MT     Lowerhouse   1966      26/3/66    2276       1 |
682. |      MT     Lowerhouse   1971      12/6/71    4180       1 |
683. |      MT     Lowerhouse   1976      17/9/76    6104       1 |
684. |      MT     Lowerhouse   1981     12/12/81    8016       1 |
685. |      MT     Lowerhouse   1987       9/5/87    9990       1 |
     |------------------------------------------------------------|
686. |      MT     Lowerhouse   1992      22/2/92   11740       1 |
687. |      MT      Municipal   1993     20/11/93   12377       1 |
688. |      MT      Municipal   1994      31/3/94   12508       1 |
689. |      MT      Municipal   1996       9/3/96   13217       1 |
690. |      MT     Lowerhouse   1996     26/10/96   13448       1 |
     |------------------------------------------------------------|
691. |      MT      Municipal   1997       8/3/97   13581       1 |
692. |      MT      Municipal   1998      14/3/98   13952       1 |
693. |      MT     Lowerhouse   1998       5/9/98   14127       1 |
694. |      MT      Municipal   1999      13/3/99   14316       1 |
695. |      MT      Municipal   2000      11/3/00   14680       1 |
     |------------------------------------------------------------|
696. |      MT      Municipal   2001      10/3/01   15044       1 |
697. |      MT      Municipal   2002       9/3/02   15408       1 |
698. |      MT      Municipal   2003       8/3/03   15772       0 |
699. |      MT     Referendum   2003       8/3/03   15772       1 |
700. |      MT     Lowerhouse   2003      12/4/03   15807       1 |
     |------------------------------------------------------------|
701. |      MT       European   2004      12/6/04   16234       1 |
702. |      MT      Municipal   2004      12/6/04   16234       0 |
703. |      MT      Municipal   2005      12/3/05   16507       1 |
704. |      MT      Municipal   2006      11/3/06   16871       1 |
705. |      MT      Municipal   2007      10/3/07   17235       1 |
     |------------------------------------------------------------|
706. |      MT     Lowerhouse   2008       8/3/08   17599       0 |
707. |      MT      Municipal   2008       8/3/08   17599       1 |
708. |      MT      Municipal   2009       6/6/09   18054       1 |
709. |      MT       European   2009       6/6/09   18054       0 |
710. |      MT     Referendum   2011      28/5/11   18775       1 |
     |------------------------------------------------------------|
711. |      MT      Municipal   2012      10/3/12   19062       1 |
712. |      MT     Lowerhouse   2013       9/3/13   19426       1 |
713. |      MT      Municipal   2013       9/3/13   19426       0 |
714. |      MT       European   2014      24/5/14   19867       1 |
715. |      MT     Referendum   2015      11/4/15   20189       0 |
     |------------------------------------------------------------|
716. |      MT      Municipal   2015      11/4/15   20189       1 |
717. |      MT     Lowerhouse   2017       3/6/17   20973       1 |
718. |      MT      Municipal   2019      25/5/19   21694       0 |
719. |      MT       European   2019      25/5/19   21694       1 |
720. |      NL     Lowerhouse   1937      26/5/37   -8255       1 |
     |------------------------------------------------------------|
721. |      NL       Regional   1939      19/4/39   -7562       1 |
722. |      NL      Municipal   1939      14/6/39   -7506       1 |
723. |      NL     Lowerhouse   1946      16/5/46   -4978       1 |
724. |      NL       Regional   1946      29/5/46   -4965       1 |
725. |      NL      Municipal   1946      26/6/46   -4937       1 |
     |------------------------------------------------------------|
726. |      NL     Lowerhouse   1948       7/7/48   -4195       1 |
727. |      NL      Municipal   1949      22/6/49   -3845       1 |
728. |      NL       Regional   1950      26/4/50   -3537       1 |
729. |      NL     Lowerhouse   1952      25/6/52   -2746       1 |
730. |      NL      Municipal   1953      27/5/53   -2410       1 |
     |------------------------------------------------------------|
731. |      NL       Regional   1954      21/4/54   -2081       1 |
732. |      NL     Lowerhouse   1956      13/6/56   -1297       1 |
733. |      NL       Regional   1958      26/3/58    -646       1 |
734. |      NL      Municipal   1958      28/5/58    -583       1 |
735. |      NL     Lowerhouse   1959      12/3/59    -295       1 |
     |------------------------------------------------------------|
736. |      NL       Regional   1962      28/3/62     817       1 |
737. |      NL      Municipal   1962      30/5/62     880       1 |
738. |      NL     Lowerhouse   1963      15/5/63    1230       1 |
739. |      NL       Regional   1966      23/3/66    2273       1 |
740. |      NL      Municipal   1966       1/6/66    2343       1 |
     |------------------------------------------------------------|
741. |      NL     Lowerhouse   1967      15/2/67    2602       1 |
742. |      NL       Regional   1970      18/3/70    3729       1 |
743. |      NL      Municipal   1970       3/6/70    3806       1 |
744. |      NL     Lowerhouse   1971      28/4/71    4135       1 |
745. |      NL     Lowerhouse   1972     29/11/72    4716       1 |
     |------------------------------------------------------------|
746. |      NL       Regional   1974      27/3/74    5199       1 |
747. |      NL      Municipal   1974      29/5/74    5262       1 |
748. |      NL     Lowerhouse   1977      25/5/77    6354       1 |
749. |      NL       Regional   1978      29/3/78    6662       1 |
750. |      NL      Municipal   1978      31/5/78    6725       1 |
     |------------------------------------------------------------|
751. |      NL       European   1979       7/6/79    7097       1 |
752. |      NL     Lowerhouse   1981      26/5/81    7816       1 |
753. |      NL       Regional   1982      24/3/82    8118       1 |
754. |      NL      Municipal   1982       5/6/82    8191       1 |
755. |      NL     Lowerhouse   1982       8/9/82    8286       1 |
     |------------------------------------------------------------|
756. |      NL       European   1984      14/6/84    8931       1 |
757. |      NL      Municipal   1986      19/3/86    9574       1 |
758. |      NL     Lowerhouse   1986      21/5/86    9637       1 |
759. |      NL       Regional   1987      18/3/87    9938       1 |
760. |      NL       European   1989      15/6/89   10758       1 |
     |------------------------------------------------------------|
761. |      NL     Lowerhouse   1989       6/9/89   10841       1 |
762. |      NL      Municipal   1990      21/3/90   11037       1 |
763. |      NL       Regional   1991       6/3/91   11387       1 |
764. |      NL      Municipal   1994       3/2/94   12452       1 |
765. |      NL     Lowerhouse   1994       3/5/94   12541       1 |
     |------------------------------------------------------------|
766. |      NL       European   1994       9/6/94   12578       1 |
767. |      NL       Regional   1995       8/3/95   12850       1 |
768. |      NL      Municipal   1998       4/3/98   13942       1 |
769. |      NL     Lowerhouse   1998       6/5/98   14005       1 |
770. |      NL       Regional   1999       3/3/99   14306       1 |
     |------------------------------------------------------------|
771. |      NL       European   1999      10/6/99   14405       1 |
772. |      NL      Municipal   2002       6/3/02   15405       1 |
773. |      NL     Lowerhouse   2002      15/5/02   15475       1 |
774. |      NL     Lowerhouse   2003      22/1/03   15727       1 |
775. |      NL       Regional   2003      11/3/03   15775       1 |
     |------------------------------------------------------------|
776. |      NL       European   2004      10/6/04   16232       1 |
777. |      NL     Referendum   2005       1/6/05   16588       1 |
778. |      NL      Municipal   2006       7/3/06   16867       1 |
779. |      NL     Lowerhouse   2006     22/11/06   17127       1 |
780. |      NL       Regional   2007       7/3/07   17232       1 |
     |------------------------------------------------------------|
781. |      NL         Others   2008     25/11/08   17861       1 |
782. |      NL       European   2009       4/6/09   18052       1 |
783. |      NL      Municipal   2010       3/3/10   18324       1 |
784. |      NL     Lowerhouse   2010       9/6/10   18422       1 |
785. |      NL       Regional   2011       2/3/11   18688       1 |
     |------------------------------------------------------------|
786. |      NL     Lowerhouse   2012      12/9/12   19248       1 |
787. |      NL      Municipal   2014      19/3/14   19801       1 |
788. |      NL       European   2014      22/5/14   19865       1 |
789. |      NL       Regional   2015      18/3/15   20165       1 |
790. |      NL         Others   2015      18/3/15   20165       0 |
     |------------------------------------------------------------|
791. |      NL     Referendum   2016       6/4/16   20550       1 |
792. |      NL     Lowerhouse   2017      15/2/17   20865       1 |
793. |      NL     Referendum   2018      21/3/18   21264       1 |
794. |      NL      Municipal   2018      21/3/18   21264       0 |
795. |      NL         Others   2019      20/3/19   21628       1 |
     |------------------------------------------------------------|
796. |      NL       Regional   2019      20/3/19   21628       0 |
797. |      NL       European   2019      23/5/19   21692       1 |
798. |      NO     Lowerhouse   1936     19/10/36   -8474       1 |
799. |      NO      Municipal   1937     18/10/37   -8110       1 |
800. |      NO     Lowerhouse   1945      8/10/45   -5198       1 |
     |------------------------------------------------------------|
801. |      NO      Municipal   1945     19/11/45   -5156       1 |
802. |      NO      Municipal   1947     20/10/47   -4456       1 |
803. |      NO     Lowerhouse   1949     10/10/49   -3735       1 |
804. |      NO      Municipal   1951      8/10/51   -3007       1 |
805. |      NO     Lowerhouse   1953     12/10/53   -2272       1 |
     |------------------------------------------------------------|
806. |      NO      Municipal   1955      3/10/55   -1551       1 |
807. |      NO     Lowerhouse   1957      7/10/57    -816       1 |
808. |      NO      Municipal   1959      5/10/59     -88       1 |
809. |      NO     Lowerhouse   1961      11/9/61     619       1 |
810. |      NO      Municipal   1963      23/9/63    1361       1 |
     |------------------------------------------------------------|
811. |      NO     Lowerhouse   1965      13/9/65    2082       1 |
812. |      NO      Municipal   1967      25/9/67    2824       1 |
813. |      NO     Lowerhouse   1969       8/9/69    3538       1 |
814. |      NO      Municipal   1971      20/9/71    4280       1 |
815. |      NO     Referendum   1972      25/9/72    4651       1 |
     |------------------------------------------------------------|
816. |      NO     Lowerhouse   1973      10/9/73    5001       1 |
817. |      NO      Municipal   1975      15/9/75    5736       1 |
818. |      NO       Regional   1975      15/9/75    5736       0 |
819. |      NO     Lowerhouse   1977      12/9/77    6464       1 |
820. |      NO      Municipal   1979      17/9/79    7199       1 |
     |------------------------------------------------------------|
821. |      NO       Regional   1979      17/9/79    7199       0 |
822. |      NO     Lowerhouse   1981      14/9/81    7927       1 |
823. |      NO      Municipal   1983      12/9/83    8655       0 |
824. |      NO       Regional   1983      12/9/83    8655       1 |
825. |      NO     Lowerhouse   1985       9/9/85    9383       1 |
     |------------------------------------------------------------|
826. |      NO       Regional   1987      14/9/87   10118       1 |
827. |      NO      Municipal   1987      14/9/87   10118       0 |
828. |      NO     Lowerhouse   1989      11/9/89   10846       1 |
829. |      NO       Regional   1991       9/9/91   11574       1 |
830. |      NO      Municipal   1991       9/9/91   11574       0 |
     |------------------------------------------------------------|
831. |      NO     Lowerhouse   1993      13/9/93   12309       1 |
832. |      NO     Referendum   1994     28/10/94   12719       1 |
833. |      NO      Municipal   1995      11/9/95   13037       1 |
834. |      NO       Regional   1995      11/9/95   13037       0 |
835. |      NO     Lowerhouse   1997      15/9/97   13772       1 |
     |------------------------------------------------------------|
836. |      NO       Regional   1999      13/9/99   14500       0 |
837. |      NO      Municipal   1999      13/9/99   14500       1 |
838. |      NO     Lowerhouse   2001      10/9/01   15228       1 |
839. |      NO       Regional   2003      15/9/03   15963       1 |
840. |      NO      Municipal   2003      15/9/03   15963       0 |
     |------------------------------------------------------------|
841. |      NO     Lowerhouse   2005      12/9/05   16691       1 |
842. |      NO       Regional   2007      10/9/07   17419       0 |
843. |      NO      Municipal   2007      10/9/07   17419       1 |
844. |      NO     Lowerhouse   2009      14/9/09   18154       1 |
845. |      NO      Municipal   2011      12/9/11   18882       0 |
     |------------------------------------------------------------|
846. |      NO       Regional   2011      12/9/11   18882       1 |
847. |      NO     Lowerhouse   2013       9/9/13   19610       1 |
848. |      NO       Regional   2015      14/9/15   20345       0 |
849. |      NO      Municipal   2015      14/9/15   20345       1 |
850. |      NO     Lowerhouse   2017      11/9/17   21073       1 |
     |------------------------------------------------------------|
851. |      NO       Regional   2019    09sep2019   21801       0 |
852. |      NO      Municipal   2019    09sep2019   21801       1 |
853. |      PT     Lowerhouse   1965      7/11/65    2137       1 |
854. |      PT     Lowerhouse   1969     26/10/69    3586       1 |
855. |      PT     Lowerhouse   1973     28/10/73    5049       1 |
     |------------------------------------------------------------|
856. |      PT     Lowerhouse   1975      25/4/75    5593       1 |
857. |      PT     Lowerhouse   1976      25/4/76    5959       1 |
858. |      PT       Regional   1976      27/6/76    6022       1 |
859. |      PT   Presidential   1976      27/6/76    6022       0 |
860. |      PT      Municipal   1976     12/12/76    6190       1 |
     |------------------------------------------------------------|
861. |      PT     Lowerhouse   1979      2/12/79    7275       1 |
862. |      PT      Municipal   1979     16/12/79    7289       1 |
863. |      PT     Lowerhouse   1980      5/10/80    7583       1 |
864. |      PT       Regional   1980      5/10/80    7583       0 |
865. |      PT   Presidential   1980      7/12/80    7646       1 |
     |------------------------------------------------------------|
866. |      PT      Municipal   1982     12/12/82    8381       1 |
867. |      PT     Lowerhouse   1983      25/4/83    8515       1 |
868. |      PT       Regional   1984     14/10/84    9053       1 |
869. |      PT     Lowerhouse   1985      6/10/85    9410       1 |
870. |      PT      Municipal   1985     15/12/85    9480       1 |
     |------------------------------------------------------------|
871. |      PT   Presidential   1986      26/1/86    9522       1 |
872. |      PT   Presidential   1986      16/2/86    9543       1 |
873. |      PT       European   1987      19/7/87   10061       1 |
874. |      PT     Lowerhouse   1987      19/7/87   10061       0 |
875. |      PT       Regional   1988      9/10/88   10509       1 |
     |------------------------------------------------------------|
876. |      PT       European   1989      18/6/89   10761       1 |
877. |      PT      Municipal   1989     17/12/89   10943       1 |
878. |      PT   Presidential   1991      13/1/91   11335       1 |
879. |      PT     Lowerhouse   1991      6/10/91   11601       1 |
880. |      PT       Regional   1992     11/10/92   11972       1 |
     |------------------------------------------------------------|
881. |      PT      Municipal   1993     12/12/93   12399       1 |
882. |      PT       European   1994      12/6/94   12581       1 |
883. |      PT     Lowerhouse   1995      1/10/95   13057       1 |
884. |      PT   Presidential   1996      14/1/96   13162       1 |
885. |      PT       Regional   1996     13/10/96   13435       1 |
     |------------------------------------------------------------|
886. |      PT      Municipal   1997     14/12/97   13862       1 |
887. |      PT     Referendum   1998      28/6/98   14058       1 |
888. |      PT     Referendum   1998      8/11/98   14191       1 |
889. |      PT       European   1999      13/6/99   14408       1 |
890. |      PT     Lowerhouse   1999     10/10/99   14527       1 |
     |------------------------------------------------------------|
891. |      PT       Regional   2000     15/10/00   14898       1 |
892. |      PT   Presidential   2001      14/1/01   14989       1 |
893. |      PT      Municipal   2001     16/12/01   15325       1 |
894. |      PT     Lowerhouse   2002      17/3/02   15416       1 |
895. |      PT       European   2004      13/6/04   16235       1 |
     |------------------------------------------------------------|
896. |      PT       Regional   2004     17/10/04   16361       1 |
897. |      PT     Lowerhouse   2005      20/2/05   16487       1 |
898. |      PT      Municipal   2005      9/10/05   16718       1 |
899. |      PT   Presidential   2006      22/1/06   16823       1 |
900. |      PT     Referendum   2007      11/2/07   17208       1 |
     |------------------------------------------------------------|
901. |      PT       Regional   2007       6/5/07   17292       1 |
902. |      PT       Regional   2008     19/10/08   17824       1 |
903. |      PT       European   2009       7/7/09   18085       1 |
904. |      PT     Lowerhouse   2009      27/9/09   18167       1 |
905. |      PT      Municipal   2009     11/10/09   18181       1 |
     |------------------------------------------------------------|
906. |      PT   Presidential   2011      23/1/11   18650       1 |
907. |      PT     Lowerhouse   2011       5/6/11   18783       1 |
908. |      PT       Regional   2011      9/10/11   18909       1 |
909. |      PT       Regional   2012     14/10/12   19280       1 |
910. |      PT      Municipal   2013      23/9/13   19624       1 |
     |------------------------------------------------------------|
911. |      PT       European   2014      25/5/14   19868       0 |
912. |      PT     Referendum   2014      25/5/14   19868       1 |
913. |      PT       Regional   2015      29/3/15   20176       1 |
914. |      PT     Lowerhouse   2015      4/10/15   20365       1 |
915. |      PT   Presidential   2016      24/1/16   20477       1 |
     |------------------------------------------------------------|
916. |      PT       Regional   2016     27/12/16   20815       1 |
917. |      PT      Municipal   2017      1/10/17   21093       1 |
918. |      PT       European   2019      26/5/19   21695       1 |
919. |      PT       Regional   2019      22/9/19   21814       1 |
920. |      PT     Lowerhouse   2019      6/10/19   21828       1 |
     |------------------------------------------------------------|
921. |      SE     Lowerhouse   1940      15/9/40   -7047       1 |
922. |      SE      Municipal   1942      20/9/42   -6312       0 |
923. |      SE       Regional   1942      20/9/42   -6312       1 |
924. |      SE     Lowerhouse   1944      17/9/44   -5584       1 |
925. |      SE       Regional   1946      15/9/46   -4856       1 |
     |------------------------------------------------------------|
926. |      SE      Municipal   1946      15/9/46   -4856       0 |
927. |      SE     Lowerhouse   1948      19/9/48   -4121       1 |
928. |      SE      Municipal   1950      17/9/50   -3393       0 |
929. |      SE       Regional   1950      17/9/50   -3393       1 |
930. |      SE     Lowerhouse   1952      21/9/52   -2658       1 |
     |------------------------------------------------------------|
931. |      SE      Municipal   1954      19/9/54   -1930       1 |
932. |      SE       Regional   1954      19/9/54   -1930       0 |
933. |      SE     Referendum   1955     16/10/55   -1538       1 |
934. |      SE     Lowerhouse   1956      16/9/56   -1202       1 |
935. |      SE     Referendum   1957     13/10/57    -810       1 |
     |------------------------------------------------------------|
936. |      SE     Lowerhouse   1958       1/6/58    -579       1 |
937. |      SE       Regional   1958      21/9/58    -467       0 |
938. |      SE      Municipal   1958      21/9/58    -467       1 |
939. |      SE     Lowerhouse   1960      18/9/60     261       1 |
940. |      SE       Regional   1962      16/9/62     989       1 |
     |------------------------------------------------------------|
941. |      SE      Municipal   1962      16/9/62     989       0 |
942. |      SE     Lowerhouse   1964      20/9/64    1724       1 |
943. |      SE      Municipal   1966      18/9/66    2452       1 |
944. |      SE       Regional   1966      18/9/66    2452       0 |
945. |      SE     Lowerhouse   1968      15/9/68    3180       1 |
     |------------------------------------------------------------|
946. |      SE      Municipal   1970      20/9/70    3915       0 |
947. |      SE       Regional   1970      20/9/70    3915       1 |
948. |      SE     Lowerhouse   1970      20/9/70    3915       0 |
949. |      SE      Municipal   1973      16/9/73    5007       0 |
950. |      SE       Regional   1973      16/9/73    5007       0 |
     |------------------------------------------------------------|
951. |      SE     Lowerhouse   1973      16/9/73    5007       1 |
952. |      SE       Regional   1976      19/9/76    6106       0 |
953. |      SE     Lowerhouse   1976      19/9/76    6106       1 |
954. |      SE      Municipal   1976      19/9/76    6106       0 |
955. |      SE     Lowerhouse   1979      16/9/79    7198       0 |
     |------------------------------------------------------------|
956. |      SE      Municipal   1979      16/9/79    7198       1 |
957. |      SE       Regional   1979      16/9/79    7198       0 |
958. |      SE     Referendum   1980      23/3/80    7387       1 |
959. |      SE      Municipal   1982      19/9/82    8297       1 |
960. |      SE     Lowerhouse   1982      19/9/82    8297       0 |
     |------------------------------------------------------------|
961. |      SE       Regional   1982      19/9/82    8297       0 |
962. |      SE       Regional   1985      15/9/85    9389       1 |
963. |      SE      Municipal   1985      15/9/85    9389       0 |
964. |      SE     Lowerhouse   1985      15/9/85    9389       0 |
965. |      SE       Regional   1988      18/9/88   10488       1 |
     |------------------------------------------------------------|
966. |      SE     Lowerhouse   1988      18/9/88   10488       0 |
967. |      SE      Municipal   1988      18/9/88   10488       0 |
968. |      SE       Regional   1991      15/9/91   11580       0 |
969. |      SE     Lowerhouse   1991      15/9/91   11580       0 |
970. |      SE      Municipal   1991      15/9/91   11580       1 |
     |------------------------------------------------------------|
971. |      SE       Regional   1994      18/9/94   12679       1 |
972. |      SE      Municipal   1994      18/9/94   12679       0 |
973. |      SE     Lowerhouse   1994      18/9/94   12679       0 |
974. |      SE     Referendum   1994     12/11/94   12734       1 |
975. |      SE       European   1995      17/9/95   13043       1 |
     |------------------------------------------------------------|
976. |      SE     Lowerhouse   1998      20/9/98   14142       1 |
977. |      SE      Municipal   1998      20/9/98   14142       0 |
978. |      SE       Regional   1998      20/9/98   14142       0 |
979. |      SE       European   1999      13/6/99   14408       1 |
980. |      SE     Lowerhouse   2002      15/9/02   15598       0 |
     |------------------------------------------------------------|
981. |      SE      Municipal   2002      15/9/02   15598       1 |
982. |      SE       Regional   2002      15/9/02   15598       0 |
983. |      SE     Referendum   2003      14/9/03   15962       1 |
984. |      SE       European   2004      13/6/04   16235       1 |
985. |      SE     Lowerhouse   2006      17/9/06   17061       0 |
     |------------------------------------------------------------|
986. |      SE      Municipal   2006      17/9/06   17061       0 |
987. |      SE       Regional   2006      17/9/06   17061       1 |
988. |      SE       European   2009       7/6/09   18055       1 |
989. |      SE       Regional   2010      19/9/10   18524       1 |
990. |      SE     Lowerhouse   2010      19/9/10   18524       0 |
     |------------------------------------------------------------|
991. |      SE      Municipal   2010      19/9/10   18524       0 |
992. |      SE       European   2014      25/5/14   19868       1 |
993. |      SE     Lowerhouse   2014      14/9/14   19980       0 |
994. |      SE      Municipal   2014      14/9/14   19980       0 |
995. |      SE       Regional   2014      14/9/14   19980       1 |
     |------------------------------------------------------------|
996. |      SE      Municipal   2018       9/9/18   21436       1 |
997. |      SE       Regional   2018       9/9/18   21436       0 |
998. |      SE     Lowerhouse   2018       9/9/18   21436       0 |
999. |      SE       European   2019    26may2019   21695       1 |
     +------------------------------------------------------------+

. 
. 
. /* creating groups */
. * Generate groups of elections by country and date
. egen Group = group(date Country) 
(2 missing values generated)

. tab Group

 group(date |
   Country) |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          1        0.10        0.10
          2 |          1        0.10        0.20
          3 |          1        0.10        0.30
          4 |          1        0.10        0.40
          5 |          1        0.10        0.50
          6 |          2        0.20        0.70
          7 |          1        0.10        0.80
          8 |          1        0.10        0.90
          9 |          1        0.10        1.00
         10 |          1        0.10        1.10
         11 |          1        0.10        1.20
         12 |          1        0.10        1.30
         13 |          1        0.10        1.40
         14 |          1        0.10        1.50
         15 |          2        0.20        1.71
         16 |          1        0.10        1.81
         17 |          2        0.20        2.01
         18 |          2        0.20        2.21
         19 |          1        0.10        2.31
         20 |          1        0.10        2.41
         21 |          1        0.10        2.51
         22 |          1        0.10        2.61
         23 |          1        0.10        2.71
         24 |          1        0.10        2.81
         25 |          1        0.10        2.91
         26 |          1        0.10        3.01
         27 |          1        0.10        3.11
         28 |          1        0.10        3.21
         29 |          1        0.10        3.31
         30 |          1        0.10        3.41
         31 |          3        0.30        3.71
         32 |          1        0.10        3.81
         33 |          1        0.10        3.91
         34 |          1        0.10        4.01
         35 |          1        0.10        4.11
         36 |          2        0.20        4.31
         37 |          1        0.10        4.41
         38 |          1        0.10        4.51
         39 |          1        0.10        4.61
         40 |          1        0.10        4.71
         41 |          1        0.10        4.81
         42 |          1        0.10        4.91
         43 |          1        0.10        5.02
         44 |          2        0.20        5.22
         45 |          1        0.10        5.32
         46 |          1        0.10        5.42
         47 |          1        0.10        5.52
         48 |          1        0.10        5.62
         49 |          1        0.10        5.72
         50 |          1        0.10        5.82
         51 |          1        0.10        5.92
         52 |          1        0.10        6.02
         53 |          1        0.10        6.12
         54 |          1        0.10        6.22
         55 |          1        0.10        6.32
         56 |          1        0.10        6.42
         57 |          1        0.10        6.52
         58 |          1        0.10        6.62
         59 |          1        0.10        6.72
         60 |          1        0.10        6.82
         61 |          1        0.10        6.92
         62 |          1        0.10        7.02
         63 |          1        0.10        7.12
         64 |          1        0.10        7.22
         65 |          2        0.20        7.42
         66 |          1        0.10        7.52
         67 |          1        0.10        7.62
         68 |          1        0.10        7.72
         69 |          2        0.20        7.92
         70 |          1        0.10        8.02
         71 |          1        0.10        8.12
         72 |          1        0.10        8.22
         73 |          1        0.10        8.32
         74 |          1        0.10        8.43
         75 |          1        0.10        8.53
         76 |          1        0.10        8.63
         77 |          1        0.10        8.73
         78 |          1        0.10        8.83
         79 |          1        0.10        8.93
         80 |          1        0.10        9.03
         81 |          1        0.10        9.13
         82 |          2        0.20        9.33
         83 |          1        0.10        9.43
         84 |          1        0.10        9.53
         85 |          1        0.10        9.63
         86 |          2        0.20        9.83
         87 |          1        0.10        9.93
         88 |          1        0.10       10.03
         89 |          1        0.10       10.13
         90 |          1        0.10       10.23
         91 |          1        0.10       10.33
         92 |          1        0.10       10.43
         93 |          2        0.20       10.63
         94 |          1        0.10       10.73
         95 |          1        0.10       10.83
         96 |          1        0.10       10.93
         97 |          1        0.10       11.03
         98 |          2        0.20       11.23
         99 |          1        0.10       11.33
        100 |          1        0.10       11.43
        101 |          1        0.10       11.53
        102 |          1        0.10       11.63
        103 |          1        0.10       11.74
        104 |          1        0.10       11.84
        105 |          1        0.10       11.94
        106 |          1        0.10       12.04
        107 |          1        0.10       12.14
        108 |          1        0.10       12.24
        109 |          1        0.10       12.34
        110 |          1        0.10       12.44
        111 |          1        0.10       12.54
        112 |          1        0.10       12.64
        113 |          1        0.10       12.74
        114 |          1        0.10       12.84
        115 |          1        0.10       12.94
        116 |          1        0.10       13.04
        117 |          2        0.20       13.24
        118 |          1        0.10       13.34
        119 |          1        0.10       13.44
        120 |          1        0.10       13.54
        121 |          1        0.10       13.64
        122 |          1        0.10       13.74
        123 |          1        0.10       13.84
        124 |          1        0.10       13.94
        125 |          2        0.20       14.14
        126 |          1        0.10       14.24
        127 |          1        0.10       14.34
        128 |          1        0.10       14.44
        129 |          1        0.10       14.54
        130 |          1        0.10       14.64
        131 |          1        0.10       14.74
        132 |          2        0.20       14.94
        133 |          1        0.10       15.05
        134 |          1        0.10       15.15
        135 |          1        0.10       15.25
        136 |          1        0.10       15.35
        137 |          1        0.10       15.45
        138 |          1        0.10       15.55
        139 |          1        0.10       15.65
        140 |          1        0.10       15.75
        141 |          1        0.10       15.85
        142 |          1        0.10       15.95
        143 |          1        0.10       16.05
        144 |          1        0.10       16.15
        145 |          1        0.10       16.25
        146 |          1        0.10       16.35
        147 |          1        0.10       16.45
        148 |          1        0.10       16.55
        149 |          2        0.20       16.75
        150 |          1        0.10       16.85
        151 |          1        0.10       16.95
        152 |          1        0.10       17.05
        153 |          1        0.10       17.15
        154 |          1        0.10       17.25
        155 |          2        0.20       17.45
        156 |          1        0.10       17.55
        157 |          1        0.10       17.65
        158 |          1        0.10       17.75
        159 |          1        0.10       17.85
        160 |          1        0.10       17.95
        161 |          4        0.40       18.36
        162 |          1        0.10       18.46
        163 |          1        0.10       18.56
        164 |          1        0.10       18.66
        165 |          1        0.10       18.76
        166 |          1        0.10       18.86
        167 |          1        0.10       18.96
        168 |          1        0.10       19.06
        169 |          1        0.10       19.16
        170 |          1        0.10       19.26
        171 |          1        0.10       19.36
        172 |          1        0.10       19.46
        173 |          1        0.10       19.56
        174 |          1        0.10       19.66
        175 |          1        0.10       19.76
        176 |          1        0.10       19.86
        177 |          1        0.10       19.96
        178 |          2        0.20       20.16
        179 |          1        0.10       20.26
        180 |          1        0.10       20.36
        181 |          1        0.10       20.46
        182 |          1        0.10       20.56
        183 |          1        0.10       20.66
        184 |          1        0.10       20.76
        185 |          1        0.10       20.86
        186 |          2        0.20       21.06
        187 |          1        0.10       21.16
        188 |          1        0.10       21.26
        189 |          1        0.10       21.36
        190 |          1        0.10       21.46
        191 |          1        0.10       21.56
        192 |          1        0.10       21.66
        193 |          1        0.10       21.77
        194 |          1        0.10       21.87
        195 |          1        0.10       21.97
        196 |          1        0.10       22.07
        197 |          1        0.10       22.17
        198 |          1        0.10       22.27
        199 |          1        0.10       22.37
        200 |          1        0.10       22.47
        201 |          1        0.10       22.57
        202 |          1        0.10       22.67
        203 |          1        0.10       22.77
        204 |          1        0.10       22.87
        205 |          1        0.10       22.97
        206 |          1        0.10       23.07
        207 |          1        0.10       23.17
        208 |          1        0.10       23.27
        209 |          1        0.10       23.37
        210 |          1        0.10       23.47
        211 |          1        0.10       23.57
        212 |          1        0.10       23.67
        213 |          2        0.20       23.87
        214 |          1        0.10       23.97
        215 |          1        0.10       24.07
        216 |          1        0.10       24.17
        217 |          1        0.10       24.27
        218 |          1        0.10       24.37
        219 |          3        0.30       24.67
        220 |          1        0.10       24.77
        221 |          1        0.10       24.87
        222 |          1        0.10       24.97
        223 |          1        0.10       25.08
        224 |          1        0.10       25.18
        225 |          1        0.10       25.28
        226 |          1        0.10       25.38
        227 |          1        0.10       25.48
        228 |          1        0.10       25.58
        229 |          2        0.20       25.78
        230 |          1        0.10       25.88
        231 |          1        0.10       25.98
        232 |          1        0.10       26.08
        233 |          1        0.10       26.18
        234 |          1        0.10       26.28
        235 |          1        0.10       26.38
        236 |          1        0.10       26.48
        237 |          2        0.20       26.68
        238 |          1        0.10       26.78
        239 |          1        0.10       26.88
        240 |          1        0.10       26.98
        241 |          1        0.10       27.08
        242 |          1        0.10       27.18
        243 |          1        0.10       27.28
        244 |          3        0.30       27.58
        245 |          1        0.10       27.68
        246 |          1        0.10       27.78
        247 |          1        0.10       27.88
        248 |          1        0.10       27.98
        249 |          1        0.10       28.08
        250 |          2        0.20       28.28
        251 |          1        0.10       28.39
        252 |          1        0.10       28.49
        253 |          1        0.10       28.59
        254 |          1        0.10       28.69
        255 |          1        0.10       28.79
        256 |          1        0.10       28.89
        257 |          2        0.20       29.09
        258 |          1        0.10       29.19
        259 |          1        0.10       29.29
        260 |          1        0.10       29.39
        261 |          1        0.10       29.49
        262 |          1        0.10       29.59
        263 |          1        0.10       29.69
        264 |          2        0.20       29.89
        265 |          1        0.10       29.99
        266 |          1        0.10       30.09
        267 |          1        0.10       30.19
        268 |          1        0.10       30.29
        269 |          2        0.20       30.49
        270 |          1        0.10       30.59
        271 |          3        0.30       30.89
        272 |          1        0.10       30.99
        273 |          1        0.10       31.09
        274 |          1        0.10       31.19
        275 |          1        0.10       31.29
        276 |          1        0.10       31.39
        277 |          1        0.10       31.49
        278 |          1        0.10       31.59
        279 |          2        0.20       31.80
        280 |          1        0.10       31.90
        281 |          1        0.10       32.00
        282 |          1        0.10       32.10
        283 |          1        0.10       32.20
        284 |          2        0.20       32.40
        285 |          1        0.10       32.50
        286 |          1        0.10       32.60
        287 |          1        0.10       32.70
        288 |          1        0.10       32.80
        289 |          1        0.10       32.90
        290 |          2        0.20       33.10
        291 |          1        0.10       33.20
        292 |          1        0.10       33.30
        293 |          1        0.10       33.40
        294 |          1        0.10       33.50
        295 |          2        0.20       33.70
        296 |          1        0.10       33.80
        297 |          1        0.10       33.90
        298 |          1        0.10       34.00
        299 |          1        0.10       34.10
        300 |          2        0.20       34.30
        301 |          1        0.10       34.40
        302 |          2        0.20       34.60
        303 |          1        0.10       34.70
        304 |          1        0.10       34.80
        305 |          1        0.10       34.90
        306 |          3        0.30       35.21
        307 |          2        0.20       35.41
        308 |          1        0.10       35.51
        309 |          1        0.10       35.61
        310 |          1        0.10       35.71
        311 |          1        0.10       35.81
        312 |          1        0.10       35.91
        313 |          1        0.10       36.01
        314 |          1        0.10       36.11
        315 |          1        0.10       36.21
        316 |          2        0.20       36.41
        317 |          1        0.10       36.51
        318 |          1        0.10       36.61
        319 |          1        0.10       36.71
        320 |          1        0.10       36.81
        321 |          1        0.10       36.91
        322 |          1        0.10       37.01
        323 |          1        0.10       37.11
        324 |          1        0.10       37.21
        325 |          1        0.10       37.31
        326 |          2        0.20       37.51
        327 |          1        0.10       37.61
        328 |          2        0.20       37.81
        329 |          1        0.10       37.91
        330 |          1        0.10       38.01
        331 |          1        0.10       38.11
        332 |          1        0.10       38.21
        333 |          1        0.10       38.31
        334 |          1        0.10       38.42
        335 |          1        0.10       38.52
        336 |          1        0.10       38.62
        337 |          1        0.10       38.72
        338 |          1        0.10       38.82
        339 |          1        0.10       38.92
        340 |          1        0.10       39.02
        341 |          3        0.30       39.32
        342 |          1        0.10       39.42
        343 |          1        0.10       39.52
        344 |          2        0.20       39.72
        345 |          1        0.10       39.82
        346 |          1        0.10       39.92
        347 |          1        0.10       40.02
        348 |          1        0.10       40.12
        349 |          1        0.10       40.22
        350 |          1        0.10       40.32
        351 |          1        0.10       40.42
        352 |          2        0.20       40.62
        353 |          1        0.10       40.72
        354 |          2        0.20       40.92
        355 |          1        0.10       41.02
        356 |          1        0.10       41.12
        357 |          1        0.10       41.22
        358 |          1        0.10       41.32
        359 |          1        0.10       41.42
        360 |          1        0.10       41.52
        361 |          1        0.10       41.62
        362 |          1        0.10       41.73
        363 |          1        0.10       41.83
        364 |          1        0.10       41.93
        365 |          1        0.10       42.03
        366 |          1        0.10       42.13
        367 |          1        0.10       42.23
        368 |          1        0.10       42.33
        369 |          1        0.10       42.43
        370 |          1        0.10       42.53
        371 |          3        0.30       42.83
        372 |          1        0.10       42.93
        373 |          2        0.20       43.13
        374 |          1        0.10       43.23
        375 |          1        0.10       43.33
        376 |          1        0.10       43.43
        377 |          1        0.10       43.53
        378 |          1        0.10       43.63
        379 |          1        0.10       43.73
        380 |          2        0.20       43.93
        381 |          1        0.10       44.03
        382 |          1        0.10       44.13
        383 |          1        0.10       44.23
        384 |          1        0.10       44.33
        385 |          3        0.30       44.63
        386 |          1        0.10       44.73
        387 |          1        0.10       44.83
        388 |          1        0.10       44.93
        389 |          1        0.10       45.04
        390 |          1        0.10       45.14
        391 |          1        0.10       45.24
        392 |          1        0.10       45.34
        393 |          1        0.10       45.44
        394 |          1        0.10       45.54
        395 |          1        0.10       45.64
        396 |          1        0.10       45.74
        397 |          1        0.10       45.84
        398 |          2        0.20       46.04
        399 |          1        0.10       46.14
        400 |          2        0.20       46.34
        401 |          1        0.10       46.44
        402 |          1        0.10       46.54
        403 |          1        0.10       46.64
        404 |          1        0.10       46.74
        405 |          1        0.10       46.84
        406 |          1        0.10       46.94
        407 |          1        0.10       47.04
        408 |          1        0.10       47.14
        409 |          3        0.30       47.44
        410 |          1        0.10       47.54
        411 |          1        0.10       47.64
        412 |          1        0.10       47.74
        413 |          1        0.10       47.84
        414 |          1        0.10       47.94
        415 |          1        0.10       48.04
        416 |          1        0.10       48.14
        417 |          1        0.10       48.24
        418 |          1        0.10       48.35
        419 |          1        0.10       48.45
        420 |          2        0.20       48.65
        421 |          1        0.10       48.75
        422 |          1        0.10       48.85
        423 |          1        0.10       48.95
        424 |          1        0.10       49.05
        425 |          1        0.10       49.15
        426 |          1        0.10       49.25
        427 |          2        0.20       49.45
        428 |          1        0.10       49.55
        429 |          2        0.20       49.75
        430 |          1        0.10       49.85
        431 |          1        0.10       49.95
        432 |          1        0.10       50.05
        433 |          1        0.10       50.15
        434 |          1        0.10       50.25
        435 |          1        0.10       50.35
        436 |          1        0.10       50.45
        437 |          1        0.10       50.55
        438 |          1        0.10       50.65
        439 |          1        0.10       50.75
        440 |          1        0.10       50.85
        441 |          1        0.10       50.95
        442 |          1        0.10       51.05
        443 |          1        0.10       51.15
        444 |          1        0.10       51.25
        445 |          1        0.10       51.35
        446 |          2        0.20       51.55
        447 |          1        0.10       51.65
        448 |          1        0.10       51.76
        449 |          2        0.20       51.96
        450 |          3        0.30       52.26
        451 |          1        0.10       52.36
        452 |          1        0.10       52.46
        453 |          1        0.10       52.56
        454 |          2        0.20       52.76
        455 |          1        0.10       52.86
        456 |          1        0.10       52.96
        457 |          1        0.10       53.06
        458 |          1        0.10       53.16
        459 |          1        0.10       53.26
        460 |          4        0.40       53.66
        461 |          1        0.10       53.76
        462 |          1        0.10       53.86
        463 |          1        0.10       53.96
        464 |          2        0.20       54.16
        465 |          1        0.10       54.26
        466 |          1        0.10       54.36
        467 |          1        0.10       54.46
        468 |          2        0.20       54.66
        469 |          1        0.10       54.76
        470 |          1        0.10       54.86
        471 |          1        0.10       54.96
        472 |          1        0.10       55.07
        473 |          1        0.10       55.17
        474 |          1        0.10       55.27
        475 |          1        0.10       55.37
        476 |          1        0.10       55.47
        477 |          1        0.10       55.57
        478 |          1        0.10       55.67
        479 |          1        0.10       55.77
        480 |          1        0.10       55.87
        481 |          1        0.10       55.97
        482 |          2        0.20       56.17
        483 |          1        0.10       56.27
        484 |          1        0.10       56.37
        485 |          1        0.10       56.47
        486 |          3        0.30       56.77
        487 |          1        0.10       56.87
        488 |          2        0.20       57.07
        489 |          1        0.10       57.17
        490 |          2        0.20       57.37
        491 |          1        0.10       57.47
        492 |          1        0.10       57.57
        493 |          1        0.10       57.67
        494 |          1        0.10       57.77
        495 |          1        0.10       57.87
        496 |          1        0.10       57.97
        497 |          1        0.10       58.07
        498 |          1        0.10       58.17
        499 |          1        0.10       58.27
        500 |          1        0.10       58.38
        501 |          1        0.10       58.48
        502 |          1        0.10       58.58
        503 |          2        0.20       58.78
        504 |          1        0.10       58.88
        505 |          1        0.10       58.98
        506 |          1        0.10       59.08
        507 |          1        0.10       59.18
        508 |          1        0.10       59.28
        509 |          3        0.30       59.58
        510 |          1        0.10       59.68
        511 |          1        0.10       59.78
        512 |          1        0.10       59.88
        513 |          1        0.10       59.98
        514 |          2        0.20       60.18
        515 |          1        0.10       60.28
        516 |          1        0.10       60.38
        517 |          1        0.10       60.48
        518 |          1        0.10       60.58
        519 |          1        0.10       60.68
        520 |          1        0.10       60.78
        521 |          1        0.10       60.88
        522 |          1        0.10       60.98
        523 |          2        0.20       61.18
        524 |          2        0.20       61.38
        525 |          1        0.10       61.48
        526 |          1        0.10       61.58
        527 |          1        0.10       61.69
        528 |          1        0.10       61.79
        529 |          2        0.20       61.99
        530 |          1        0.10       62.09
        531 |          1        0.10       62.19
        532 |          2        0.20       62.39
        533 |          1        0.10       62.49
        534 |          1        0.10       62.59
        535 |          1        0.10       62.69
        536 |          1        0.10       62.79
        537 |          3        0.30       63.09
        538 |          2        0.20       63.29
        539 |          2        0.20       63.49
        540 |          1        0.10       63.59
        541 |          1        0.10       63.69
        542 |          1        0.10       63.79
        543 |          1        0.10       63.89
        544 |          1        0.10       63.99
        545 |          1        0.10       64.09
        546 |          1        0.10       64.19
        547 |          2        0.20       64.39
        548 |          1        0.10       64.49
        549 |          1        0.10       64.59
        550 |          2        0.20       64.79
        551 |          1        0.10       64.89
        552 |          1        0.10       64.99
        553 |          1        0.10       65.10
        554 |          1        0.10       65.20
        555 |          1        0.10       65.30
        556 |          1        0.10       65.40
        557 |          2        0.20       65.60
        558 |          1        0.10       65.70
        559 |          1        0.10       65.80
        560 |          1        0.10       65.90
        561 |          1        0.10       66.00
        562 |          1        0.10       66.10
        563 |          3        0.30       66.40
        564 |          1        0.10       66.50
        565 |          1        0.10       66.60
        566 |          1        0.10       66.70
        567 |          1        0.10       66.80
        568 |          1        0.10       66.90
        569 |          1        0.10       67.00
        570 |          1        0.10       67.10
        571 |          2        0.20       67.30
        572 |          2        0.20       67.50
        573 |          1        0.10       67.60
        574 |          3        0.30       67.90
        575 |          1        0.10       68.00
        576 |          1        0.10       68.10
        577 |          3        0.30       68.41
        578 |          1        0.10       68.51
        579 |          1        0.10       68.61
        580 |          1        0.10       68.71
        581 |          1        0.10       68.81
        582 |          1        0.10       68.91
        583 |          1        0.10       69.01
        584 |          1        0.10       69.11
        585 |          1        0.10       69.21
        586 |          1        0.10       69.31
        587 |          1        0.10       69.41
        588 |          1        0.10       69.51
        589 |          1        0.10       69.61
        590 |          3        0.30       69.91
        591 |          2        0.20       70.11
        592 |          1        0.10       70.21
        593 |          2        0.20       70.41
        594 |          1        0.10       70.51
        595 |          1        0.10       70.61
        596 |          2        0.20       70.81
        597 |          1        0.10       70.91
        598 |          1        0.10       71.01
        599 |          1        0.10       71.11
        600 |          1        0.10       71.21
        601 |          1        0.10       71.31
        602 |          1        0.10       71.41
        603 |          2        0.20       71.61
        604 |          1        0.10       71.72
        605 |          1        0.10       71.82
        606 |          1        0.10       71.92
        607 |          3        0.30       72.22
        608 |          2        0.20       72.42
        609 |          2        0.20       72.62
        610 |          1        0.10       72.72
        611 |          3        0.30       73.02
        612 |          2        0.20       73.22
        613 |          1        0.10       73.32
        614 |          1        0.10       73.42
        615 |          1        0.10       73.52
        616 |          1        0.10       73.62
        617 |          1        0.10       73.72
        618 |          1        0.10       73.82
        619 |          1        0.10       73.92
        620 |          1        0.10       74.02
        621 |          1        0.10       74.12
        622 |          1        0.10       74.22
        623 |          1        0.10       74.32
        624 |          1        0.10       74.42
        625 |          1        0.10       74.52
        626 |          1        0.10       74.62
        627 |          1        0.10       74.72
        628 |          1        0.10       74.82
        629 |          1        0.10       74.92
        630 |          1        0.10       75.03
        631 |          1        0.10       75.13
        632 |          1        0.10       75.23
        633 |          2        0.20       75.43
        634 |          1        0.10       75.53
        635 |          1        0.10       75.63
        636 |          1        0.10       75.73
        637 |          1        0.10       75.83
        638 |          1        0.10       75.93
        639 |          1        0.10       76.03
        640 |          3        0.30       76.33
        641 |          2        0.20       76.53
        642 |          2        0.20       76.73
        643 |          1        0.10       76.83
        644 |          1        0.10       76.93
        645 |          1        0.10       77.03
        646 |          1        0.10       77.13
        647 |          1        0.10       77.23
        648 |          1        0.10       77.33
        649 |          1        0.10       77.43
        650 |          1        0.10       77.53
        651 |          1        0.10       77.63
        652 |          1        0.10       77.73
        653 |          1        0.10       77.83
        654 |          1        0.10       77.93
        655 |          1        0.10       78.03
        656 |          1        0.10       78.13
        657 |          1        0.10       78.23
        658 |          2        0.20       78.44
        659 |          1        0.10       78.54
        660 |          1        0.10       78.64
        661 |          2        0.20       78.84
        662 |          3        0.30       79.14
        663 |          2        0.20       79.34
        664 |          2        0.20       79.54
        665 |          1        0.10       79.64
        666 |          1        0.10       79.74
        667 |          1        0.10       79.84
        668 |          1        0.10       79.94
        669 |          1        0.10       80.04
        670 |          1        0.10       80.14
        671 |          1        0.10       80.24
        672 |          2        0.20       80.44
        673 |          2        0.20       80.64
        674 |          2        0.20       80.84
        675 |          1        0.10       80.94
        676 |          1        0.10       81.04
        677 |          1        0.10       81.14
        678 |          1        0.10       81.24
        679 |          1        0.10       81.34
        680 |          1        0.10       81.44
        681 |          1        0.10       81.54
        682 |          1        0.10       81.64
        683 |          1        0.10       81.75
        684 |          1        0.10       81.85
        685 |          1        0.10       81.95
        686 |          2        0.20       82.15
        687 |          1        0.10       82.25
        688 |          1        0.10       82.35
        689 |          1        0.10       82.45
        690 |          1        0.10       82.55
        691 |          1        0.10       82.65
        692 |          1        0.10       82.75
        693 |          3        0.30       83.05
        694 |          2        0.20       83.25
        695 |          2        0.20       83.45
        696 |          1        0.10       83.55
        697 |          1        0.10       83.65
        698 |          1        0.10       83.75
        699 |          1        0.10       83.85
        700 |          1        0.10       83.95
        701 |          1        0.10       84.05
        702 |          1        0.10       84.15
        703 |          1        0.10       84.25
        704 |          1        0.10       84.35
        705 |          2        0.20       84.55
        706 |          1        0.10       84.65
        707 |          1        0.10       84.75
        708 |          2        0.20       84.95
        709 |          1        0.10       85.06
        710 |          1        0.10       85.16
        711 |          3        0.30       85.46
        712 |          2        0.20       85.66
        713 |          1        0.10       85.76
        714 |          1        0.10       85.86
        715 |          1        0.10       85.96
        716 |          1        0.10       86.06
        717 |          1        0.10       86.16
        718 |          1        0.10       86.26
        719 |          1        0.10       86.36
        720 |          1        0.10       86.46
        721 |          1        0.10       86.56
        722 |          1        0.10       86.66
        723 |          1        0.10       86.76
        724 |          1        0.10       86.86
        725 |          1        0.10       86.96
        726 |          1        0.10       87.06
        727 |          1        0.10       87.16
        728 |          1        0.10       87.26
        729 |          1        0.10       87.36
        730 |          1        0.10       87.46
        731 |          1        0.10       87.56
        732 |          2        0.20       87.76
        733 |          1        0.10       87.86
        734 |          1        0.10       87.96
        735 |          1        0.10       88.06
        736 |          2        0.20       88.26
        737 |          2        0.20       88.47
        738 |          1        0.10       88.57
        739 |          1        0.10       88.67
        740 |          1        0.10       88.77
        741 |          2        0.20       88.97
        742 |          1        0.10       89.07
        743 |          2        0.20       89.27
        744 |          1        0.10       89.37
        745 |          2        0.20       89.57
        746 |          1        0.10       89.67
        747 |          1        0.10       89.77
        748 |          1        0.10       89.87
        749 |          3        0.30       90.17
        750 |          2        0.20       90.37
        751 |          1        0.10       90.47
        752 |          1        0.10       90.57
        753 |          3        0.30       90.87
        754 |          1        0.10       90.97
        755 |          2        0.20       91.17
        756 |          1        0.10       91.27
        757 |          1        0.10       91.37
        758 |          1        0.10       91.47
        759 |          1        0.10       91.57
        760 |          2        0.20       91.78
        761 |          1        0.10       91.88
        762 |          2        0.20       92.08
        763 |          2        0.20       92.28
        764 |          1        0.10       92.38
        765 |          1        0.10       92.48
        766 |          2        0.20       92.68
        767 |          1        0.10       92.78
        768 |          1        0.10       92.88
        769 |          1        0.10       92.98
        770 |          1        0.10       93.08
        771 |          1        0.10       93.18
        772 |          1        0.10       93.28
        773 |          2        0.20       93.48
        774 |          1        0.10       93.58
        775 |          1        0.10       93.68
        776 |          1        0.10       93.78
        777 |          1        0.10       93.88
        778 |          2        0.20       94.08
        779 |          1        0.10       94.18
        780 |          1        0.10       94.28
        781 |          1        0.10       94.38
        782 |          1        0.10       94.48
        783 |          1        0.10       94.58
        784 |          1        0.10       94.68
        785 |          1        0.10       94.78
        786 |          1        0.10       94.88
        787 |          1        0.10       94.98
        788 |          1        0.10       95.09
        789 |          1        0.10       95.19
        790 |          1        0.10       95.29
        791 |          1        0.10       95.39
        792 |          2        0.20       95.59
        793 |          1        0.10       95.69
        794 |          1        0.10       95.79
        795 |          2        0.20       95.99
        796 |          1        0.10       96.09
        797 |          1        0.10       96.19
        798 |          3        0.30       96.49
        799 |          2        0.20       96.69
        800 |          1        0.10       96.79
        801 |          2        0.20       96.99
        802 |          1        0.10       97.09
        803 |          2        0.20       97.29
        804 |          1        0.10       97.39
        805 |          3        0.30       97.69
        806 |          2        0.20       97.89
        807 |          1        0.10       97.99
        808 |          3        0.30       98.29
        809 |          1        0.10       98.40
        810 |          1        0.10       98.50
        811 |          3        0.30       98.80
        812 |          1        0.10       98.90
        813 |          1        0.10       99.00
        814 |          2        0.20       99.20
        815 |          1        0.10       99.30
        816 |          1        0.10       99.40
        817 |          2        0.20       99.60
        818 |          1        0.10       99.70
        819 |          1        0.10       99.80
        820 |          2        0.20      100.00
------------+-----------------------------------
      Total |        997      100.00

. 
. * Rank based on the election-type hierarchy
. generate Rank1 = Type

. recode Rank1 (1 = 2) (2 = 1) (3 = 3) (4 = 7) (5 = 8) (6 = 6) (7 = 5) (8 = 4) (10 = 9), generate(Rank)
(815 differences between Rank1 and Rank)

. drop Rank1

. 
. * Rank within a group by Type and Coverage
. generate Coverage_pop2 = 1/Coverage_pop  // preparing to sort
(6 missing values generated)

. sort Group Coverage_pop2 Rank            // sort by Group, Coverage (inversed) and Rank 

. quietly by Group :  gen Rank2 = cond(_N==1,0,_n)

. recode Rank2 (0 =.), generate (Rankgroup) 
(676 differences between Rank2 and Rankgroup)

. drop Rank2 

. 
. * labels 
. label var Group "Groups by election date and country"

. label var Rank "Rank based one the election-type hierarchy"

. label var Coverage_pop2 "Inverted population coverage to be used in sort"

. label var Rankgroup "Rank within the group by pop coverage and rank"

.   
. /* Joint elections */
. 
. * Re-grouping joint elections
. sum Rankgroup // max 4

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
   Rankgroup |        323    1.659443    .6746029          1          4

. gen joint_el1 = Type[_n+1] if Rankgroup == 1&Rankgroup[_n+1] == 2&Group == Group[_n+1]
(854 missing values generated)

. gen joint_el2 = Type[_n+2] if Rankgroup == 1&Rankgroup[_n+2] == 3&Group == Group[_n+2]
(968 missing values generated)

. gen joint_el3 = Type[_n+3] if Rankgroup == 1&Rankgroup[_n+3] == 4&Group == Group[_n+3]
(997 missing values generated)

. 
. * Labels 
. label var joint_el1 "2nd simultaneous elections"

. label var joint_el2 "3rd simultaneous elections"

. label var joint_el3 "4th simultaneous elections"

. 
. * Delete 2nd and later elections 
. drop if Rankgroup > 1 & Rankgroup != .
(178 observations deleted)

. 
. * Creating dummies for joint elections 
. forvalues i=1(1)10  { 
  2. generate Joint`i' = 1 if `i' == joint_el1 | `i' == joint_el2 | `i' == joint_el3  
  3. }
(821 missing values generated)
(820 missing values generated)
(803 missing values generated)
(803 missing values generated)
(804 missing values generated)
(747 missing values generated)
(813 missing values generated)
(788 missing values generated)
(821 missing values generated)
(819 missing values generated)

. foreach x of varlist Joint1-Joint10 {
  2. replace `x' = 0 if (`x' >= .)
  3. }
(821 real changes made)
(820 real changes made)
(803 real changes made)
(803 real changes made)
(804 real changes made)
(747 real changes made)
(813 real changes made)
(788 real changes made)
(821 real changes made)
(819 real changes made)

. drop Joint9    // no type 9

. 
. * Labels
. label var Joint1 "Joint Presidential"

. label var Joint2 "Joint Lowerhouse"

. label var Joint3 "Joint Upperhouse"

. label var Joint4 "Joint Referendum"

. label var Joint5 "Joint European"

. label var Joint6 "Joint Regional"

. label var Joint7 "Joint Local"

. label var Joint8 "Joint Municipal"

. label var Joint10 "Joint Others"

. 
. save electionsdata_2.dta, replace
file electionsdata_2.dta saved

. 
. 
. 
. 
end of do-file

. do "C:\Users\fkostelk\Dropbox\Replication_EF\Code\1_2_CEE.do"

.         *********************************************************************************
.         *                                                                               *
.         *                Election Frequency - Preparing the Dataset                         *
.         *                                                                               *
.         *                          Preparing Data from CEE Elections                                    *
.         *                                                                                                                      
>                                          *                       
.         *                                                                                                                      
>  *
.         *                                                                               *
.         *********************************************************************************
.  
.         global beg_path `"C:\Users\fkostelk\Dropbox\Replication_EF\"'  // F - Home

.  
.         cd `"${beg_path}Data\Analysis 1"'
C:\Users\fkostelk\Dropbox\Replication_EF\Data\Analysis 1

.         use electionsdata_CEE.dta, clear

.         fre Length

Length -- Number of days
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   1     |        463      86.06      86.06      86.06
        2     |         73      13.57      13.57      99.63
        6     |          1       0.19       0.19      99.81
        27    |          1       0.19       0.19     100.00
        Total |        538     100.00     100.00           
-----------------------------------------------------------

. 
.         /* Identifying simultaneous elections */
.         sort Country date

.         by date Country, sort: gen nvals = _n == 1

.         /* nvals is 1 whenever a value is first in its group and is 0 otherwise */
.         count if nvals == 0     // total number of pairs
  121

.         tab nvals Country

           |                                              Country
     nvals |  Bulgaria  Czech Rep    Estonia    Hungary     Latvia  Lithuania     Poland    Romania   Slovakia |     Total
-----------+---------------------------------------------------------------------------------------------------+----------
         0 |         8         14          2         14          4         14         21         18         15 |       121 
         1 |        43         45         28         35         31         46         47         41         47 |       417 
-----------+---------------------------------------------------------------------------------------------------+----------
     Total |        51         59         30         49         35         60         68         59         62 |       538 


           |  Country
     nvals |  Slovenia |     Total
-----------+-----------+----------
         0 |        11 |       121 
         1 |        54 |       417 
-----------+-----------+----------
     Total |        65 |       538 

.         sort Country date 

.         list Country Type Year Date date nvals

     +------------------------------------------------------------------+
     |        Country           Type   Year        Date    date   nvals |
     |------------------------------------------------------------------|
  1. |       Bulgaria     Lowerhouse   1986    08/06/86    9655       1 |
  2. |       Bulgaria       Regional   1988    15/02/88   10272       0 |
  3. |       Bulgaria      Municipal   1988    15/02/88   10272       1 |
  4. |       Bulgaria     Lowerhouse   1990    10/06/90   11118       1 |
  5. |       Bulgaria     Lowerhouse   1990    17/06/90   11125       1 |
     |------------------------------------------------------------------|
  6. |       Bulgaria      Municipal   1991    13/10/91   11608       1 |
  7. |       Bulgaria     Lowerhouse   1991    13/10/91   11608       0 |
  8. |       Bulgaria      Municipal   1991    22/10/91   11617       1 |
  9. |       Bulgaria   Presidential   1992    12/01/92   11699       1 |
 10. |       Bulgaria   Presidential   1992    19/01/92   11706       1 |
     |------------------------------------------------------------------|
 11. |       Bulgaria     Lowerhouse   1994    18/12/94   12770       1 |
 12. |       Bulgaria      Municipal   1995    29/10/95   13085       1 |
 13. |       Bulgaria      Municipal   1995    12/11/95   13099       1 |
 14. |       Bulgaria   Presidential   1996    27/10/96   13449       1 |
 15. |       Bulgaria   Presidential   1996    03/11/96   13456       1 |
     |------------------------------------------------------------------|
 16. |       Bulgaria     Lowerhouse   1997    19/04/97   13623       1 |
 17. |       Bulgaria      Municipal   1999    16/10/99   14533       1 |
 18. |       Bulgaria      Municipal   1999    23/10/99   14540       1 |
 19. |       Bulgaria     Lowerhouse   2001    17/06/01   15143       1 |
 20. |       Bulgaria   Presidential   2001    11/11/01   15290       1 |
     |------------------------------------------------------------------|
 21. |       Bulgaria   Presidential   2001    18/11/01   15297       1 |
 22. |       Bulgaria      Municipal   2003    26/10/03   16004       1 |
 23. |       Bulgaria      Municipal   2003    02/11/03   16011       1 |
 24. |       Bulgaria     Lowerhouse   2005    25/06/05   16612       1 |
 25. |       Bulgaria   Presidential   2006    22/10/06   17096       1 |
     |------------------------------------------------------------------|
 26. |       Bulgaria   Presidential   2006    29/10/06   17103       1 |
 27. |       Bulgaria       European   2007    20/05/07   17306       1 |
 28. |       Bulgaria      Municipal   2007    28/10/07   17467       1 |
 29. |       Bulgaria      Municipal   2007    04/11/07   17474       1 |
 30. |       Bulgaria       European   2009    07/06/09   18055       1 |
     |------------------------------------------------------------------|
 31. |       Bulgaria     Lowerhouse   2009    05/07/09   18083       1 |
 32. |       Bulgaria      Municipal   2011    23/10/11   18923       0 |
 33. |       Bulgaria   Presidential   2011    23/10/11   18923       1 |
 34. |       Bulgaria      Municipal   2011    30/10/11   18930       0 |
 35. |       Bulgaria   Presidential   2011    30/10/11   18930       1 |
     |------------------------------------------------------------------|
 36. |       Bulgaria     Referendum   2013    27/01/13   19385       1 |
 37. |       Bulgaria     Lowerhouse   2013    12/05/13   19490       1 |
 38. |       Bulgaria       European   2014    25/05/14   19868       1 |
 39. |       Bulgaria     Lowerhouse   2014    05/10/14   20001       1 |
 40. |       Bulgaria      Municipal   2015    25/10/15   20386       0 |
     |------------------------------------------------------------------|
 41. |       Bulgaria     Referendum   2015    25/10/15   20386       1 |
 42. |       Bulgaria      Municipal   2015    01/11/15   20393       1 |
 43. |       Bulgaria   Presidential   2016    06/11/16   20764       0 |
 44. |       Bulgaria     Referendum   2016    06/11/16   20764       1 |
 45. |       Bulgaria     Referendum   2016    06/11/16   20764       0 |
     |------------------------------------------------------------------|
 46. |       Bulgaria     Referendum   2016    06/11/16   20764       0 |
 47. |       Bulgaria   Presidential   2016    13/11/16   20771       1 |
 48. |       Bulgaria     Lowerhouse   2017    26/03/17   20904       1 |
 49. |       Bulgaria       European   2019    26/05/19   21695       1 |
 50. |       Bulgaria      Municipal   2019    27/10/19   21849       1 |
     |------------------------------------------------------------------|
 51. |       Bulgaria      Municipal   2019     3/11/19   21856       1 |
 52. | Czech Republic     Lowerhouse   1986    24/05/86    9640       0 |
 53. | Czech Republic      Municipal   1986    24/05/86    9640       0 |
 54. | Czech Republic       Regional   1986    24/05/86    9640       1 |
 55. | Czech Republic          Local   1986    24/05/86    9640       0 |
     |------------------------------------------------------------------|
 56. | Czech Republic     Lowerhouse   1990    09/06/90   11117       1 |
 57. | Czech Republic      Municipal   1990    24/11/90   11285       1 |
 58. | Czech Republic     Lowerhouse   1992    06/06/92   11845       1 |
 59. | Czech Republic      Municipal   1994    19/11/94   12741       1 |
 60. | Czech Republic     Lowerhouse   1996    01/06/96   13301       1 |
     |------------------------------------------------------------------|
 61. | Czech Republic     Upperhouse   1996    16/11/96   13469       1 |
 62. | Czech Republic     Upperhouse   1996    23/11/96   13476       1 |
 63. | Czech Republic     Lowerhouse   1998    20/06/98   14050       1 |
 64. | Czech Republic      Municipal   1998    14/11/98   14197       0 |
 65. | Czech Republic     Upperhouse   1998    14/11/98   14197       1 |
     |------------------------------------------------------------------|
 66. | Czech Republic     Upperhouse   1998    21/11/98   14204       1 |
 67. | Czech Republic     Upperhouse   2000    12/11/00   14926       0 |
 68. | Czech Republic       Regional   2000    12/11/00   14926       1 |
 69. | Czech Republic     Upperhouse   2000    19/11/00   14933       1 |
 70. | Czech Republic     Lowerhouse   2002    15/06/02   15506       1 |
     |------------------------------------------------------------------|
 71. | Czech Republic     Upperhouse   2002    26/10/02   15639       1 |
 72. | Czech Republic     Upperhouse   2002    02/11/02   15646       0 |
 73. | Czech Republic      Municipal   2002    02/11/02   15646       1 |
 74. | Czech Republic     Referendum   2003    14/06/03   15870       1 |
 75. | Czech Republic       European   2004    12/06/04   16234       1 |
     |------------------------------------------------------------------|
 76. | Czech Republic     Upperhouse   2004    06/11/04   16381       1 |
 77. | Czech Republic       Regional   2004    06/11/04   16381       0 |
 78. | Czech Republic     Upperhouse   2004    13/11/04   16388       1 |
 79. | Czech Republic     Lowerhouse   2006    03/06/06   16955       1 |
 80. | Czech Republic      Municipal   2006    21/10/06   17095       0 |
     |------------------------------------------------------------------|
 81. | Czech Republic     Upperhouse   2006    21/10/06   17095       1 |
 82. | Czech Republic     Upperhouse   2006    28/10/06   17102       1 |
 83. | Czech Republic     Upperhouse   2008    18/10/08   17823       0 |
 84. | Czech Republic       Regional   2008    18/10/08   17823       1 |
 85. | Czech Republic     Upperhouse   2008    25/10/08   17830       1 |
     |------------------------------------------------------------------|
 86. | Czech Republic       European   2009    06/06/09   18054       1 |
 87. | Czech Republic     Lowerhouse   2010    29/05/10   18411       1 |
 88. | Czech Republic      Municipal   2010    16/10/10   18551       1 |
 89. | Czech Republic     Upperhouse   2010    16/10/10   18551       0 |
 90. | Czech Republic     Upperhouse   2010    23/10/10   18558       1 |
     |------------------------------------------------------------------|
 91. | Czech Republic     Upperhouse   2012    13/10/12   19279       0 |
 92. | Czech Republic       Regional   2012   13oct2012   19279       1 |
 93. | Czech Republic     Upperhouse   2012    20/10/12   19286       1 |
 94. | Czech Republic   Presidential   2013    12/01/13   19370       1 |
 95. | Czech Republic   Presidential   2013    26/01/13   19384       1 |
     |------------------------------------------------------------------|
 96. | Czech Republic     Lowerhouse   2013    26/10/13   19657       1 |
 97. | Czech Republic       European   2014    24/05/14   19867       1 |
 98. | Czech Republic     Upperhouse   2014    11/10/14   20007       1 |
 99. | Czech Republic      Municipal   2014    11/10/14   20007       0 |
100. | Czech Republic     Upperhouse   2014    18/10/14   20014       1 |
     |------------------------------------------------------------------|
101. | Czech Republic       Regional   2016    08/10/16   20735       1 |
102. | Czech Republic     Upperhouse   2016    08/10/16   20735       0 |
103. | Czech Republic     Upperhouse   2016    15/10/16   20742       1 |
104. | Czech Republic     Lowerhouse   2017    21/10/17   21113       1 |
105. | Czech Republic   Presidential   2018    13/01/18   21197       1 |
     |------------------------------------------------------------------|
106. | Czech Republic   Presidential   2018    27/01/18   21211       1 |
107. | Czech Republic     Upperhouse   2018     6/10/18   21463       0 |
108. | Czech Republic      Municipal   2018     6/10/18   21463       1 |
109. | Czech Republic     Upperhouse   2018    13/10/18   21470       1 |
110. | Czech Republic       European   2019    25/05/19   21694       1 |
     |------------------------------------------------------------------|
111. |        Estonia     Lowerhouse   1985    24/02/85    9186       1 |
112. |        Estonia     Lowerhouse   1989    26/03/89   10677       1 |
113. |        Estonia      Municipal   1989    10/12/89   10936       1 |
114. |        Estonia     Lowerhouse   1990    24/02/90   11012       1 |
115. |        Estonia     Lowerhouse   1990    18/03/90   11034       1 |
     |------------------------------------------------------------------|
116. |        Estonia     Referendum   1991    03/03/91   11384       1 |
117. |        Estonia     Referendum   1992    28/06/92   11867       1 |
118. |        Estonia     Referendum   1992    28/06/92   11867       0 |
119. |        Estonia     Lowerhouse   1992    20/09/92   11951       0 |
120. |        Estonia   Presidential   1992    20/09/92   11951       1 |
     |------------------------------------------------------------------|
121. |        Estonia      Municipal   1993    17/10/93   12343       1 |
122. |        Estonia     Lowerhouse   1995    05/03/95   12847       1 |
123. |        Estonia      Municipal   1996    20/10/96   13442       1 |
124. |        Estonia     Lowerhouse   1999    07/03/99   14310       1 |
125. |        Estonia      Municipal   1999    17/10/99   14534       1 |
     |------------------------------------------------------------------|
126. |        Estonia      Municipal   2002    20/10/02   15633       1 |
127. |        Estonia     Lowerhouse   2003    02/03/03   15766       1 |
128. |        Estonia     Referendum   2003    14/09/03   15962       1 |
129. |        Estonia       European   2004    13/06/04   16235       1 |
130. |        Estonia      Municipal   2005    16/10/05   16725       1 |
     |------------------------------------------------------------------|
131. |        Estonia     Lowerhouse   2007    04/03/07   17229       1 |
132. |        Estonia       European   2009    07/06/09   18055       1 |
133. |        Estonia      Municipal   2009    18/10/09   18188       1 |
134. |        Estonia     Lowerhouse   2011    06/03/11   18692       1 |
135. |        Estonia      Municipal   2013    20/10/13   19651       1 |
     |------------------------------------------------------------------|
136. |        Estonia       European   2014    25/05/14   19868       1 |
137. |        Estonia     Lowerhouse   2015    01/03/15   20148       1 |
138. |        Estonia      Municipal   2017    15/10/17   21107       1 |
139. |        Estonia     Lowerhouse   2019     3/03/19   21611       1 |
140. |        Estonia       European   2019    26/05/19   21695       1 |
     |------------------------------------------------------------------|
141. |        Hungary      Municipal   1985    08/06/85    9290       1 |
142. |        Hungary     Lowerhouse   1985    08/06/85    9290       0 |
143. |        Hungary     Referendum   1989    26/11/89   10922       0 |
144. |        Hungary     Referendum   1989    26/11/89   10922       1 |
145. |        Hungary     Referendum   1989    26/11/89   10922       0 |
     |------------------------------------------------------------------|
146. |        Hungary     Referendum   1989    26/11/89   10922       0 |
147. |        Hungary     Lowerhouse   1990    25/03/90   11041       1 |
148. |        Hungary     Lowerhouse   1990    08/04/90   11055       1 |
149. |        Hungary     Referendum   1990    29/07/90   11167       1 |
150. |        Hungary      Municipal   1990    30/09/90   11230       1 |
     |------------------------------------------------------------------|
151. |        Hungary      Municipal   1990    14/10/90   11244       1 |
152. |        Hungary     Lowerhouse   1994    08/05/94   12546       1 |
153. |        Hungary     Lowerhouse   1994    29/05/94   12567       1 |
154. |        Hungary      Municipal   1994    11/12/94   12763       1 |
155. |        Hungary       Regional   1994    11/12/94   12763       0 |
     |------------------------------------------------------------------|
156. |        Hungary     Referendum   1997    16/11/97   13834       1 |
157. |        Hungary     Lowerhouse   1998    10/05/98   14009       1 |
158. |        Hungary     Lowerhouse   1998    24/05/98   14023       1 |
159. |        Hungary       Regional   1998    18/10/98   14170       1 |
160. |        Hungary      Municipal   1998    18/10/98   14170       0 |
     |------------------------------------------------------------------|
161. |        Hungary     Lowerhouse   2002    07/04/02   15437       1 |
162. |        Hungary     Lowerhouse   2002    21/04/02   15451       1 |
163. |        Hungary      Municipal   2002    20/10/02   15633       0 |
164. |        Hungary       Regional   2002    20/10/02   15633       1 |
165. |        Hungary     Referendum   2003    12/04/03   15807       1 |
     |------------------------------------------------------------------|
166. |        Hungary       European   2004    13/05/04   16204       1 |
167. |        Hungary     Referendum   2004    05/12/04   16410       1 |
168. |        Hungary     Referendum   2004    05/12/04   16410       0 |
169. |        Hungary     Lowerhouse   2006    09/04/06   16900       1 |
170. |        Hungary     Lowerhouse   2006    23/04/06   16914       1 |
     |------------------------------------------------------------------|
171. |        Hungary      Municipal   2006    01/10/06   17075       0 |
172. |        Hungary       Regional   2006    01/10/06   17075       1 |
173. |        Hungary     Referendum   2008    09/03/08   17600       0 |
174. |        Hungary     Referendum   2008    09/03/08   17600       1 |
175. |        Hungary     Referendum   2008    09/03/08   17600       0 |
     |------------------------------------------------------------------|
176. |        Hungary       European   2009    07/06/09   18055       1 |
177. |        Hungary     Lowerhouse   2010    11/04/10   18363       1 |
178. |        Hungary     Lowerhouse   2010    25/04/10   18377       1 |
179. |        Hungary       Regional   2010    03/10/10   18538       1 |
180. |        Hungary      Municipal   2010    03/10/10   18538       0 |
     |------------------------------------------------------------------|
181. |        Hungary     Lowerhouse   2014    06/04/14   19819       1 |
182. |        Hungary       European   2014    25/05/14   19868       1 |
183. |        Hungary       Regional   2014    12/10/14   20008       1 |
184. |        Hungary      Municipal   2014    12/10/14   20008       0 |
185. |        Hungary     Referendum   2016    02/10/16   20729       1 |
     |------------------------------------------------------------------|
186. |        Hungary     Lowerhouse   2018    08/04/18   21282       1 |
187. |        Hungary       European   2019    26/05/19   21695       1 |
188. |        Hungary       Regional   2019    13/10/19   21835       1 |
189. |        Hungary      Municipal   2019    13/10/19   21835       0 |
190. |         Latvia     Lowerhouse   1989    26/03/89   10677       1 |
     |------------------------------------------------------------------|
191. |         Latvia      Municipal   1989    10/12/89   10936       1 |
192. |         Latvia     Lowerhouse   1990    18/03/90   11034       1 |
193. |         Latvia     Lowerhouse   1990    01/04/90   11048       1 |
194. |         Latvia     Referendum   1991    03/03/91   11384       1 |
195. |         Latvia     Lowerhouse   1993    06/06/93   12210       1 |
     |------------------------------------------------------------------|
196. |         Latvia      Municipal   1994    29/05/94   12567       0 |
197. |         Latvia       Regional   1994    29/05/94   12567       1 |
198. |         Latvia     Lowerhouse   1995    01/10/95   13057       1 |
199. |         Latvia      Municipal   1997    09/03/97   13582       1 |
200. |         Latvia     Lowerhouse   1998    03/10/98   14155       1 |
     |------------------------------------------------------------------|
201. |         Latvia     Referendum   1998    03/10/98   14155       0 |
202. |         Latvia     Referendum   1999    13/11/99   14561       1 |
203. |         Latvia      Municipal   2001    11/03/01   15045       1 |
204. |         Latvia     Lowerhouse   2002    05/10/02   15618       1 |
205. |         Latvia     Referendum   2003    21/09/03   15969       1 |
     |------------------------------------------------------------------|
206. |         Latvia       European   2004    12/06/04   16234       1 |
207. |         Latvia      Municipal   2005    12/03/05   16507       1 |
208. |         Latvia     Lowerhouse   2006    07/10/06   17081       1 |
209. |         Latvia     Referendum   2007    07/07/07   17354       1 |
210. |         Latvia     Referendum   2007    07/07/07   17354       0 |
     |------------------------------------------------------------------|
211. |         Latvia     Referendum   2008    02/08/08   17746       1 |
212. |         Latvia     Referendum   2008    23/08/08   17767       1 |
213. |         Latvia       European   2009    06/06/09   18054       0 |
214. |         Latvia      Municipal   2009    06/06/09   18054       1 |
215. |         Latvia     Lowerhouse   2010    02/10/10   18537       1 |
     |------------------------------------------------------------------|
216. |         Latvia     Referendum   2011    24/07/11   18832       1 |
217. |         Latvia     Lowerhouse   2011    17/09/11   18887       1 |
218. |         Latvia     Referendum   2012    24/07/12   19198       1 |
219. |         Latvia      Municipal   2013    01/06/13   19510       1 |
220. |         Latvia       European   2014    25/05/14   19868       1 |
     |------------------------------------------------------------------|
221. |         Latvia     Lowerhouse   2014    04/10/14   20000       1 |
222. |         Latvia      Municipal   2017    04/06/17   20974       1 |
223. |         Latvia     Lowerhouse   2018    06/10/18   21463       1 |
224. |         Latvia       European   2019    15/05/19   21684       1 |
225. |      Lithuania     Lowerhouse   1989    26/03/89   10677       1 |
     |------------------------------------------------------------------|
226. |      Lithuania     Lowerhouse   1990    25/02/90   11013       1 |
227. |      Lithuania     Lowerhouse   1990    07/03/90   11023       1 |
228. |      Lithuania      Municipal   1990    24/03/90   11040       1 |
229. |      Lithuania      Municipal   1990    07/04/90   11054       1 |
230. |      Lithuania     Referendum   1991    09/02/91   11362       1 |
     |------------------------------------------------------------------|
231. |      Lithuania     Referendum   1992    23/05/92   11831       1 |
232. |      Lithuania     Referendum   1992    14/06/92   11853       1 |
233. |      Lithuania     Referendum   1992    25/10/92   11986       1 |
234. |      Lithuania     Lowerhouse   1992    25/10/92   11986       0 |
235. |      Lithuania     Lowerhouse   1992    15/11/92   12007       1 |
     |------------------------------------------------------------------|
236. |      Lithuania   Presidential   1993    14/02/93   12098       1 |
237. |      Lithuania     Referendum   1994    27/08/94   12657       1 |
238. |      Lithuania      Municipal   1995    25/03/95   12867       1 |
239. |      Lithuania     Referendum   1996    20/10/96   13442       0 |
240. |      Lithuania     Referendum   1996    20/10/96   13442       0 |
     |------------------------------------------------------------------|
241. |      Lithuania     Referendum   1996    20/10/96   13442       0 |
242. |      Lithuania     Referendum   1996    20/10/96   13442       1 |
243. |      Lithuania     Lowerhouse   1996    20/10/96   13442       0 |
244. |      Lithuania     Referendum   1996    10/11/96   13463       0 |
245. |      Lithuania     Lowerhouse   1996    10/11/96   13463       1 |
     |------------------------------------------------------------------|
246. |      Lithuania      Municipal   1997    23/03/97   13596       1 |
247. |      Lithuania   Presidential   1997    21/12/97   13869       1 |
248. |      Lithuania   Presidential   1998    04/01/98   13883       1 |
249. |      Lithuania      Municipal   2000    19/03/00   14688       1 |
250. |      Lithuania     Lowerhouse   2000    08/10/00   14891       1 |
     |------------------------------------------------------------------|
251. |      Lithuania   Presidential   2002    22/12/02   15696       0 |
252. |      Lithuania      Municipal   2002    22/12/02   15696       1 |
253. |      Lithuania   Presidential   2003    05/01/03   15710       1 |
254. |      Lithuania     Referendum   2003    11/05/03   15836       1 |
255. |      Lithuania   Presidential   2004    07/06/04   16229       0 |
     |------------------------------------------------------------------|
256. |      Lithuania       European   2004    07/06/04   16229       1 |
257. |      Lithuania   Presidential   2004    27/06/04   16249       1 |
258. |      Lithuania     Lowerhouse   2004    10/10/04   16354       1 |
259. |      Lithuania     Lowerhouse   2004    24/10/04   16368       1 |
260. |      Lithuania      Municipal   2007    25/02/07   17222       1 |
     |------------------------------------------------------------------|
261. |      Lithuania     Lowerhouse   2008    12/10/08   17817       1 |
262. |      Lithuania     Referendum   2008    12/10/08   17817       0 |
263. |      Lithuania     Lowerhouse   2008    26/10/08   17831       1 |
264. |      Lithuania   Presidential   2009    17/05/09   18034       1 |
265. |      Lithuania       European   2009    07/06/09   18055       1 |
     |------------------------------------------------------------------|
266. |      Lithuania      Municipal   2011    15/03/11   18701       1 |
267. |      Lithuania     Referendum   2012    14/10/12   19280       0 |
268. |      Lithuania     Lowerhouse   2012    14/10/12   19280       1 |
269. |      Lithuania     Lowerhouse   2012    28/10/12   19294       1 |
270. |      Lithuania   Presidential   2014    11/05/14   19854       1 |
     |------------------------------------------------------------------|
271. |      Lithuania       European   2014    25/05/14   19868       1 |
272. |      Lithuania   Presidential   2014    25/05/14   19868       0 |
273. |      Lithuania     Referendum   2014    29/06/14   19903       1 |
274. |      Lithuania      Municipal   2015    01/03/15   20148       1 |
275. |      Lithuania      Municipal   2015    15/03/15   20162       1 |
     |------------------------------------------------------------------|
276. |      Lithuania     Lowerhouse   2016    09/10/16   20736       1 |
277. |      Lithuania     Lowerhouse   2016    23/10/16   20750       1 |
278. |      Lithuania      Municipal   2019    03/03/19   21611       1 |
279. |      Lithuania      Municipal   2019    17/03/19   21625       1 |
280. |      Lithuania     Referendum   2019    12/05/19   21681       0 |
     |------------------------------------------------------------------|
281. |      Lithuania     Referendum   2019    12/05/19   21681       0 |
282. |      Lithuania   Presidential   2019    12/05/19   21681       1 |
283. |      Lithuania   Presidential   2019    26/05/19   21695       0 |
284. |      Lithuania       European   2019    26/05/19   21695       1 |
285. |         Poland          Local   1984    17/06/84    8934       1 |
     |------------------------------------------------------------------|
286. |         Poland     Lowerhouse   1985    13/10/85    9417       1 |
287. |         Poland     Referendum   1987    29/11/87   10194       0 |
288. |         Poland     Referendum   1987    29/11/87   10194       1 |
289. |         Poland          Local   1988    19/06/88   10397       1 |
290. |         Poland     Lowerhouse   1989    04/06/89   10747       1 |
     |------------------------------------------------------------------|
291. |         Poland     Lowerhouse   1989    18/06/89   10761       1 |
292. |         Poland      Municipal   1990    27/05/90   11104       1 |
293. |         Poland   Presidential   1990    25/11/90   11286       1 |
294. |         Poland   Presidential   1990    09/12/90   11300       1 |
295. |         Poland     Lowerhouse   1991    27/10/91   11622       1 |
     |------------------------------------------------------------------|
296. |         Poland     Lowerhouse   1993    19/09/93   12315       1 |
297. |         Poland      Municipal   1994    19/06/94   12588       1 |
298. |         Poland   Presidential   1995    05/11/95   13092       1 |
299. |         Poland   Presidential   1995    19/11/95   13106       1 |
300. |         Poland     Referendum   1996    18/02/96   13197       1 |
     |------------------------------------------------------------------|
301. |         Poland     Referendum   1996    18/02/96   13197       0 |
302. |         Poland     Referendum   1996    18/02/96   13197       0 |
303. |         Poland     Referendum   1996    18/02/96   13197       0 |
304. |         Poland     Referendum   1996    18/02/96   13197       0 |
305. |         Poland     Referendum   1997    25/05/97   13659       1 |
     |------------------------------------------------------------------|
306. |         Poland     Lowerhouse   1997    21/09/97   13778       1 |
307. |         Poland       Regional   1998    11/10/98   14163       1 |
308. |         Poland          Local   1998    11/10/98   14163       0 |
309. |         Poland      Municipal   1998    11/10/98   14163       0 |
310. |         Poland   Presidential   2000    08/10/00   14891       1 |
     |------------------------------------------------------------------|
311. |         Poland     Lowerhouse   2001    23/09/01   15241       1 |
312. |         Poland          Local   2002    27/10/02   15640       1 |
313. |         Poland       Regional   2002    27/10/02   15640       0 |
314. |         Poland      Municipal   2002    27/10/02   15640       0 |
315. |         Poland      Municipal   2002    10/11/02   15654       1 |
     |------------------------------------------------------------------|
316. |         Poland     Referendum   2003    08/06/03   15864       1 |
317. |         Poland       European   2004    13/06/04   16235       1 |
318. |         Poland     Lowerhouse   2005    25/09/05   16704       1 |
319. |         Poland   Presidential   2005    09/10/05   16718       1 |
320. |         Poland   Presidential   2005    23/10/05   16732       1 |
     |------------------------------------------------------------------|
321. |         Poland       Regional   2006    12/11/06   17117       1 |
322. |         Poland          Local   2006    12/11/06   17117       0 |
323. |         Poland      Municipal   2006    12/11/06   17117       0 |
324. |         Poland      Municipal   2006    26/11/06   17131       1 |
325. |         Poland     Lowerhouse   2007    21/10/07   17460       1 |
     |------------------------------------------------------------------|
326. |         Poland       European   2009    07/06/09   18055       1 |
327. |         Poland   Presidential   2010    20/06/10   18433       1 |
328. |         Poland   Presidential   2010    04/07/10   18447       1 |
329. |         Poland       Regional   2010    21/11/10   18587       1 |
330. |         Poland          Local   2010    21/11/10   18587       0 |
     |------------------------------------------------------------------|
331. |         Poland      Municipal   2010    21/11/10   18587       0 |
332. |         Poland      Municipal   2010    05/12/10   18601       1 |
333. |         Poland     Lowerhouse   2011    09/10/11   18909       1 |
334. |         Poland       European   2014    25/05/14   19868       1 |
335. |         Poland       Regional   2014    16/11/14   20043       1 |
     |------------------------------------------------------------------|
336. |         Poland      Municipal   2014    16/11/14   20043       0 |
337. |         Poland          Local   2014    16/11/14   20043       0 |
338. |         Poland      Municipal   2014    30/11/14   20057       1 |
339. |         Poland   Presidential   2015    10/05/15   20218       1 |
340. |         Poland   Presidential   2015    24/05/15   20232       1 |
     |------------------------------------------------------------------|
341. |         Poland     Referendum   2015    06/09/15   20337       1 |
342. |         Poland     Referendum   2015    06/09/15   20337       0 |
343. |         Poland     Referendum   2015    06/09/15   20337       0 |
344. |         Poland     Upperhouse   2015    25/10/15   20386       1 |
345. |         Poland     Lowerhouse   2015    25/10/15   20386       0 |
     |------------------------------------------------------------------|
346. |         Poland       European   2019    26/05/19   21695       1 |
347. |         Poland     Lowerhouse   2019    13/10/19   21835       0 |
348. |         Poland     Upperhouse   2019    13/10/19   21835       1 |
349. |         Poland          Local   2018    21/10/19   21843       1 |
350. |         Poland      Municipal   2018    21/10/19   21843       0 |
     |------------------------------------------------------------------|
351. |         Poland       Regional   2018    21/10/19   21843       0 |
352. |         Poland      Municipal   2018    04/11/19   21857       1 |
353. |        Romania     Lowerhouse   1985    17/03/85    9207       1 |
354. |        Romania          Local   1987    15/11/87   10180       1 |
355. |        Romania   Presidential   1990    20/05/90   11097       1 |
     |------------------------------------------------------------------|
356. |        Romania     Lowerhouse   1990    20/05/90   11097       0 |
357. |        Romania     Referendum   1991    08/12/91   11664       1 |
358. |        Romania          Local   1992    09/02/92   11727       0 |
359. |        Romania      Municipal   1992    09/02/92   11727       1 |
360. |        Romania      Municipal   1992    23/02/92   11741       1 |
     |------------------------------------------------------------------|
361. |        Romania   Presidential   1992    27/09/92   11958       0 |
362. |        Romania     Lowerhouse   1992    27/09/92   11958       1 |
363. |        Romania   Presidential   1992    11/10/92   11972       1 |
364. |        Romania          Local   1996    02/06/96   13302       0 |
365. |        Romania      Municipal   1996    02/06/96   13302       1 |
     |------------------------------------------------------------------|
366. |        Romania      Municipal   1996    16/06/96   13316       1 |
367. |        Romania   Presidential   1996    03/11/96   13456       0 |
368. |        Romania     Lowerhouse   1996    03/11/96   13456       1 |
369. |        Romania   Presidential   1996    17/11/96   13470       1 |
370. |        Romania          Local   2000    04/06/00   14765       1 |
     |------------------------------------------------------------------|
371. |        Romania      Municipal   2000    04/06/00   14765       0 |
372. |        Romania      Municipal   2000    18/06/00   14779       1 |
373. |        Romania     Lowerhouse   2000    26/11/00   14940       0 |
374. |        Romania   Presidential   2000    26/11/00   14940       1 |
375. |        Romania   Presidential   2000    10/12/00   14954       1 |
     |------------------------------------------------------------------|
376. |        Romania     Referendum   2003    19/10/03   15997       1 |
377. |        Romania          Local   2004    06/06/04   16228       0 |
378. |        Romania      Municipal   2004    06/06/04   16228       1 |
379. |        Romania      Municipal   2004    20/06/04   16242       1 |
380. |        Romania   Presidential   2004    28/11/04   16403       1 |
     |------------------------------------------------------------------|
381. |        Romania     Lowerhouse   2004    28/11/04   16403       0 |
382. |        Romania   Presidential   2004    12/12/04   16417       1 |
383. |        Romania     Referendum   2007    19/05/07   17305       1 |
384. |        Romania       European   2007    25/11/07   17495       1 |
385. |        Romania     Referendum   2007    25/11/07   17495       0 |
     |------------------------------------------------------------------|
386. |        Romania      Municipal   2008    01/06/08   17684       1 |
387. |        Romania          Local   2008    01/06/08   17684       0 |
388. |        Romania      Municipal   2008    15/06/08   17698       1 |
389. |        Romania     Lowerhouse   2008    30/08/08   17774       1 |
390. |        Romania       European   2009    07/06/09   18055       1 |
     |------------------------------------------------------------------|
391. |        Romania     Referendum   2009    22/11/09   18223       1 |
392. |        Romania   Presidential   2009    22/11/09   18223       0 |
393. |        Romania     Referendum   2009    22/11/09   18223       0 |
394. |        Romania   Presidential   2009    06/12/09   18237       1 |
395. |        Romania          Local   2012    10/06/12   19154       0 |
     |------------------------------------------------------------------|
396. |        Romania      Municipal   2012    10/06/12   19154       1 |
397. |        Romania     Referendum   2012    29/07/12   19203       1 |
398. |        Romania     Lowerhouse   2012    09/12/12   19336       1 |
399. |        Romania       European   2014    25/05/14   19868       1 |
400. |        Romania   Presidential   2014    02/11/14   20029       1 |
     |------------------------------------------------------------------|
401. |        Romania   Presidential   2014    16/11/14   20043       1 |
402. |        Romania      Municipal   2016    05/06/16   20610       1 |
403. |        Romania          Local   2016    05/06/16   20610       0 |
404. |        Romania     Lowerhouse   2016    11/12/16   20799       1 |
405. |        Romania     Referendum   2018    07/10/18   21464       1 |
     |------------------------------------------------------------------|
406. |        Romania     Referendum   2019    26/05/19   21695       1 |
407. |        Romania       European   2019    26/05/19   21695       0 |
408. |        Romania     Referendum   2019    26/05/19   21695       0 |
409. |        Romania     Referendum   2019    26/05/19   21695       0 |
410. |        Romania   Presidential   2019    10/11/19   21863       1 |
     |------------------------------------------------------------------|
411. |        Romania   Presidential   2019    24/11/19   21877       1 |
412. |       Slovakia       Regional   1986    24/05/86    9640       0 |
413. |       Slovakia          Local   1986    24/05/86    9640       0 |
414. |       Slovakia     Lowerhouse   1986    24/05/86    9640       0 |
415. |       Slovakia      Municipal   1986    24/05/86    9640       1 |
     |------------------------------------------------------------------|
416. |       Slovakia     Lowerhouse   1990    09/06/90   11117       1 |
417. |       Slovakia      Municipal   1990    24/11/90   11285       1 |
418. |       Slovakia     Lowerhouse   1992    06/06/92   11845       1 |
419. |       Slovakia     Lowerhouse   1994    01/10/94   12692       1 |
420. |       Slovakia     Referendum   1994    22/10/94   12713       0 |
     |------------------------------------------------------------------|
421. |       Slovakia     Referendum   1994    22/10/94   12713       0 |
422. |       Slovakia     Referendum   1994    22/10/94   12713       1 |
423. |       Slovakia     Referendum   1994    22/10/94   12713       0 |
424. |       Slovakia      Municipal   1994    19/11/94   12741       1 |
425. |       Slovakia     Referendum   1997    24/05/97   13658       1 |
     |------------------------------------------------------------------|
426. |       Slovakia     Referendum   1998    26/09/98   14148       1 |
427. |       Slovakia     Lowerhouse   1998    26/09/98   14148       0 |
428. |       Slovakia      Municipal   1998    19/12/98   14232       1 |
429. |       Slovakia   Presidential   1999    15/05/99   14379       1 |
430. |       Slovakia   Presidential   1999    29/05/99   14393       1 |
     |------------------------------------------------------------------|
431. |       Slovakia     Referendum   2000    11/11/00   14925       1 |
432. |       Slovakia       Regional   2001    01/12/01   15310       1 |
433. |       Slovakia       Regional   2001    15/12/01   15324       1 |
434. |       Slovakia     Lowerhouse   2002    22/09/02   15605       1 |
435. |       Slovakia      Municipal   2002    07/12/02   15681       1 |
     |------------------------------------------------------------------|
436. |       Slovakia     Referendum   2003    17/05/03   15842       1 |
437. |       Slovakia   Presidential   2004    03/04/04   16164       1 |
438. |       Slovakia     Referendum   2004    03/04/04   16164       0 |
439. |       Slovakia   Presidential   2004    17/04/04   16178       1 |
440. |       Slovakia       European   2004    13/06/04   16235       1 |
     |------------------------------------------------------------------|
441. |       Slovakia       Regional   2005    26/11/05   16766       1 |
442. |       Slovakia       Regional   2005    11/12/05   16781       1 |
443. |       Slovakia     Lowerhouse   2006    17/06/06   16969       1 |
444. |       Slovakia      Municipal   2006    02/12/06   17137       1 |
445. |       Slovakia   Presidential   2009    21/03/09   17977       1 |
     |------------------------------------------------------------------|
446. |       Slovakia   Presidential   2009    04/04/09   17991       1 |
447. |       Slovakia       European   2009    13/06/09   18061       1 |
448. |       Slovakia       Regional   2009    14/11/09   18215       1 |
449. |       Slovakia       Regional   2009    28/11/09   18229       1 |
450. |       Slovakia     Lowerhouse   2010    12/06/10   18425       1 |
     |------------------------------------------------------------------|
451. |       Slovakia     Referendum   2010    18/09/10   18523       0 |
452. |       Slovakia     Referendum   2010    18/09/10   18523       0 |
453. |       Slovakia     Referendum   2010    18/09/10   18523       1 |
454. |       Slovakia     Referendum   2010    18/09/10   18523       0 |
455. |       Slovakia     Referendum   2010    18/09/10   18523       0 |
     |------------------------------------------------------------------|
456. |       Slovakia     Referendum   2010    18/09/10   18523       0 |
457. |       Slovakia      Municipal   2010    27/11/10   18593       1 |
458. |       Slovakia     Lowerhouse   2012    10/03/12   19062       1 |
459. |       Slovakia       Regional   2013    09/11/13   19671       1 |
460. |       Slovakia       Regional   2013    23/11/13   19685       1 |
     |------------------------------------------------------------------|
461. |       Slovakia   Presidential   2014    15/03/14   19797       1 |
462. |       Slovakia   Presidential   2014    29/03/14   19811       1 |
463. |       Slovakia       European   2014    24/05/14   19867       1 |
464. |       Slovakia      Municipal   2014    15/11/14   20042       1 |
465. |       Slovakia     Referendum   2015    07/02/15   20126       1 |
     |------------------------------------------------------------------|
466. |       Slovakia     Referendum   2015    07/02/15   20126       0 |
467. |       Slovakia     Referendum   2015    07/02/15   20126       0 |
468. |       Slovakia     Lowerhouse   2016    05/03/16   20518       1 |
469. |       Slovakia       Regional   2017    04/11/17   21127       1 |
470. |       Slovakia      Municipal   2018    10/11/18   21498       1 |
     |------------------------------------------------------------------|
471. |       Slovakia   Presidential   2019    16/03/19   21624       1 |
472. |       Slovakia   Presidential   2019    30/03/19   21638       1 |
473. |       Slovakia       European   2019    25/05/19   21694       1 |
474. |       Slovenia     Lowerhouse   1986    10/05/86    9626       1 |
475. |       Slovenia     Lowerhouse   1990    08/04/90   11055       1 |
     |------------------------------------------------------------------|
476. |       Slovenia   Presidential   1990    08/04/90   11055       0 |
477. |       Slovenia   Presidential   1990    22/04/90   11069       1 |
478. |       Slovenia     Referendum   1990    23/12/90   11314       1 |
479. |       Slovenia   Presidential   1992    06/12/92   12028       1 |
480. |       Slovenia     Lowerhouse   1992    06/12/92   12028       0 |
     |------------------------------------------------------------------|
481. |       Slovenia      Municipal   1994    04/12/94   12756       1 |
482. |       Slovenia      Municipal   1994    18/12/94   12770       1 |
483. |       Slovenia     Lowerhouse   1996    10/11/96   13463       1 |
484. |       Slovenia     Referendum   1996    08/12/96   13491       0 |
485. |       Slovenia     Referendum   1996    08/12/96   13491       0 |
     |------------------------------------------------------------------|
486. |       Slovenia     Referendum   1996    08/12/96   13491       1 |
487. |       Slovenia   Presidential   1997    23/12/97   13871       1 |
488. |       Slovenia      Municipal   1998    22/11/98   14205       1 |
489. |       Slovenia      Municipal   1998    06/12/98   14219       1 |
490. |       Slovenia     Referendum   1999    10/01/99   14254       1 |
     |------------------------------------------------------------------|
491. |       Slovenia     Lowerhouse   2000    15/10/00   14898       1 |
492. |       Slovenia     Referendum   2001    17/06/01   15143       1 |
493. |       Slovenia      Municipal   2002    10/11/02   15654       0 |
494. |       Slovenia   Presidential   2002    10/11/02   15654       1 |
495. |       Slovenia      Municipal   2002    01/12/02   15675       0 |
     |------------------------------------------------------------------|
496. |       Slovenia   Presidential   2002    01/12/02   15675       1 |
497. |       Slovenia     Referendum   2003    19/01/03   15724       0 |
498. |       Slovenia     Referendum   2003    19/01/03   15724       1 |
499. |       Slovenia     Referendum   2003    23/03/03   15787       0 |
500. |       Slovenia     Referendum   2003    23/03/03   15787       1 |
     |------------------------------------------------------------------|
501. |       Slovenia     Referendum   2003    21/09/03   15969       1 |
502. |       Slovenia     Referendum   2004    04/04/04   16165       1 |
503. |       Slovenia       European   2004    13/06/04   16235       1 |
504. |       Slovenia     Lowerhouse   2004    03/10/04   16347       1 |
505. |       Slovenia     Referendum   2005    25/09/05   16704       1 |
     |------------------------------------------------------------------|
506. |       Slovenia      Municipal   2006    22/10/06   17096       1 |
507. |       Slovenia      Municipal   2006    12/11/06   17117       1 |
508. |       Slovenia   Presidential   2007    21/10/07   17460       1 |
509. |       Slovenia     Referendum   2007    11/11/07   17481       0 |
510. |       Slovenia   Presidential   2007    11/11/07   17481       1 |
     |------------------------------------------------------------------|
511. |       Slovenia     Lowerhouse   2008    21/09/08   17796       1 |
512. |       Slovenia       European   2009    07/06/09   18055       1 |
513. |       Slovenia     Referendum   2010    06/06/10   18419       1 |
514. |       Slovenia      Municipal   2010    10/10/10   18545       1 |
515. |       Slovenia      Municipal   2010    24/10/10   18559       1 |
     |------------------------------------------------------------------|
516. |       Slovenia     Referendum   2010    12/12/10   18608       1 |
517. |       Slovenia     Referendum   2011    10/04/11   18727       1 |
518. |       Slovenia     Referendum   2011    05/06/11   18783       0 |
519. |       Slovenia     Referendum   2011    05/06/11   18783       1 |
520. |       Slovenia     Referendum   2011    05/06/11   18783       0 |
     |------------------------------------------------------------------|
521. |       Slovenia     Lowerhouse   2011    04/12/11   18965       1 |
522. |       Slovenia     Referendum   2012    25/03/12   19077       1 |
523. |       Slovenia   Presidential   2012    11/11/12   19308       1 |
524. |       Slovenia   Presidential   2012    02/12/12   19329       1 |
525. |       Slovenia       European   2014    25/05/14   19868       1 |
     |------------------------------------------------------------------|
526. |       Slovenia     Referendum   2014    08/06/14   19882       1 |
527. |       Slovenia     Lowerhouse   2014    13/07/14   19917       1 |
528. |       Slovenia      Municipal   2014    05/10/14   20001       1 |
529. |       Slovenia      Municipal   2014    19/10/14   20015       1 |
530. |       Slovenia     Referendum   2015    20/12/15   20442       1 |
     |------------------------------------------------------------------|
531. |       Slovenia     Referendum   2017    24/09/17   21086       1 |
532. |       Slovenia   Presidential   2017    22/10/17   21114       1 |
533. |       Slovenia   Presidential   2017    12/11/17   21135       1 |
534. |       Slovenia     Referendum   2018    13/05/18   21317       1 |
535. |       Slovenia     Lowerhouse   2018    03/06/18   21338       1 |
     |------------------------------------------------------------------|
536. |       Slovenia      Municipal   2018    18/11/18   21506       1 |
537. |       Slovenia      Municipal   2018    02/12/18   21520       1 |
538. |       Slovenia       European   2019    26/05/19   21695       1 |
     +------------------------------------------------------------------+

. 
. 
.         /* Creating groups */
.         
.         * generate groups
.         egen Group = group(date Country) 

.         tab Group

 group(date |
   Country) |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          1        0.19        0.19
          2 |          1        0.19        0.37
          3 |          1        0.19        0.56
          4 |          2        0.37        0.93
          5 |          1        0.19        1.12
          6 |          1        0.19        1.30
          7 |          4        0.74        2.04
          8 |          4        0.74        2.79
          9 |          1        0.19        2.97
         10 |          1        0.19        3.16
         11 |          2        0.37        3.53
         12 |          2        0.37        3.90
         13 |          1        0.19        4.09
         14 |          1        0.19        4.28
         15 |          1        0.19        4.46
         16 |          1        0.19        4.65
         17 |          1        0.19        4.83
         18 |          1        0.19        5.02
         19 |          4        0.74        5.76
         20 |          1        0.19        5.95
         21 |          1        0.19        6.13
         22 |          1        0.19        6.32
         23 |          1        0.19        6.51
         24 |          1        0.19        6.69
         25 |          1        0.19        6.88
         26 |          1        0.19        7.06
         27 |          1        0.19        7.25
         28 |          1        0.19        7.43
         29 |          1        0.19        7.62
         30 |          1        0.19        7.81
         31 |          1        0.19        7.99
         32 |          2        0.37        8.36
         33 |          1        0.19        8.55
         34 |          2        0.37        8.92
         35 |          1        0.19        9.11
         36 |          1        0.19        9.29
         37 |          1        0.19        9.48
         38 |          1        0.19        9.67
         39 |          1        0.19        9.85
         40 |          1        0.19       10.04
         41 |          1        0.19       10.22
         42 |          1        0.19       10.41
         43 |          1        0.19       10.59
         44 |          1        0.19       10.78
         45 |          1        0.19       10.97
         46 |          1        0.19       11.15
         47 |          1        0.19       11.34
         48 |          1        0.19       11.52
         49 |          1        0.19       11.71
         50 |          1        0.19       11.90
         51 |          2        0.37       12.27
         52 |          1        0.19       12.45
         53 |          1        0.19       12.64
         54 |          1        0.19       12.83
         55 |          1        0.19       13.01
         56 |          1        0.19       13.20
         57 |          2        0.37       13.57
         58 |          1        0.19       13.75
         59 |          1        0.19       13.94
         60 |          1        0.19       14.13
         61 |          1        0.19       14.31
         62 |          1        0.19       14.50
         63 |          2        0.37       14.87
         64 |          2        0.37       15.24
         65 |          2        0.37       15.61
         66 |          1        0.19       15.80
         67 |          2        0.37       16.17
         68 |          1        0.19       16.36
         69 |          2        0.37       16.73
         70 |          1        0.19       16.91
         71 |          1        0.19       17.10
         72 |          1        0.19       17.29
         73 |          1        0.19       17.47
         74 |          1        0.19       17.66
         75 |          1        0.19       17.84
         76 |          2        0.37       18.22
         77 |          1        0.19       18.40
         78 |          1        0.19       18.59
         79 |          1        0.19       18.77
         80 |          4        0.74       19.52
         81 |          1        0.19       19.70
         82 |          1        0.19       19.89
         83 |          1        0.19       20.07
         84 |          2        0.37       20.45
         85 |          1        0.19       20.63
         86 |          1        0.19       20.82
         87 |          1        0.19       21.00
         88 |          1        0.19       21.19
         89 |          1        0.19       21.38
         90 |          1        0.19       21.56
         91 |          1        0.19       21.75
         92 |          1        0.19       21.93
         93 |          1        0.19       22.12
         94 |          5        0.93       23.05
         95 |          1        0.19       23.23
         96 |          2        0.37       23.61
         97 |          1        0.19       23.79
         98 |          1        0.19       23.98
         99 |          5        0.93       24.91
        100 |          1        0.19       25.09
        101 |          1        0.19       25.28
        102 |          2        0.37       25.65
        103 |          2        0.37       26.02
        104 |          1        0.19       26.21
        105 |          1        0.19       26.39
        106 |          1        0.19       26.58
        107 |          1        0.19       26.77
        108 |          3        0.56       27.32
        109 |          1        0.19       27.51
        110 |          1        0.19       27.70
        111 |          1        0.19       27.88
        112 |          1        0.19       28.07
        113 |          1        0.19       28.25
        114 |          1        0.19       28.44
        115 |          1        0.19       28.62
        116 |          1        0.19       28.81
        117 |          1        0.19       29.00
        118 |          1        0.19       29.18
        119 |          1        0.19       29.37
        120 |          1        0.19       29.55
        121 |          1        0.19       29.74
        122 |          2        0.37       30.11
        123 |          2        0.37       30.48
        124 |          3        0.56       31.04
        125 |          2        0.37       31.41
        126 |          2        0.37       31.78
        127 |          1        0.19       31.97
        128 |          1        0.19       32.16
        129 |          1        0.19       32.34
        130 |          1        0.19       32.53
        131 |          1        0.19       32.71
        132 |          1        0.19       32.90
        133 |          1        0.19       33.09
        134 |          1        0.19       33.27
        135 |          1        0.19       33.46
        136 |          1        0.19       33.64
        137 |          1        0.19       33.83
        138 |          1        0.19       34.01
        139 |          1        0.19       34.20
        140 |          2        0.37       34.57
        141 |          1        0.19       34.76
        142 |          1        0.19       34.94
        143 |          1        0.19       35.13
        144 |          1        0.19       35.32
        145 |          1        0.19       35.50
        146 |          2        0.37       35.87
        147 |          1        0.19       36.06
        148 |          2        0.37       36.43
        149 |          1        0.19       36.62
        150 |          1        0.19       36.80
        151 |          1        0.19       36.99
        152 |          1        0.19       37.17
        153 |          1        0.19       37.36
        154 |          1        0.19       37.55
        155 |          1        0.19       37.73
        156 |          1        0.19       37.92
        157 |          1        0.19       38.10
        158 |          1        0.19       38.29
        159 |          1        0.19       38.48
        160 |          1        0.19       38.66
        161 |          1        0.19       38.85
        162 |          1        0.19       39.03
        163 |          1        0.19       39.22
        164 |          2        0.37       39.59
        165 |          1        0.19       39.78
        166 |          3        0.56       40.33
        167 |          2        0.37       40.71
        168 |          1        0.19       40.89
        169 |          2        0.37       41.26
        170 |          2        0.37       41.64
        171 |          1        0.19       41.82
        172 |          2        0.37       42.19
        173 |          1        0.19       42.38
        174 |          2        0.37       42.75
        175 |          1        0.19       42.94
        176 |          2        0.37       43.31
        177 |          1        0.19       43.49
        178 |          1        0.19       43.68
        179 |          1        0.19       43.87
        180 |          1        0.19       44.05
        181 |          1        0.19       44.24
        182 |          1        0.19       44.42
        183 |          1        0.19       44.61
        184 |          1        0.19       44.80
        185 |          1        0.19       44.98
        186 |          1        0.19       45.17
        187 |          1        0.19       45.35
        188 |          2        0.37       45.72
        189 |          1        0.19       45.91
        190 |          1        0.19       46.10
        191 |          1        0.19       46.28
        192 |          2        0.37       46.65
        193 |          2        0.37       47.03
        194 |          1        0.19       47.21
        195 |          1        0.19       47.40
        196 |          1        0.19       47.58
        197 |          1        0.19       47.77
        198 |          1        0.19       47.96
        199 |          1        0.19       48.14
        200 |          1        0.19       48.33
        201 |          1        0.19       48.51
        202 |          1        0.19       48.70
        203 |          1        0.19       48.88
        204 |          1        0.19       49.07
        205 |          2        0.37       49.44
        206 |          1        0.19       49.63
        207 |          2        0.37       50.00
        208 |          2        0.37       50.37
        209 |          1        0.19       50.56
        210 |          1        0.19       50.74
        211 |          1        0.19       50.93
        212 |          1        0.19       51.12
        213 |          1        0.19       51.30
        214 |          1        0.19       51.49
        215 |          1        0.19       51.67
        216 |          1        0.19       51.86
        217 |          1        0.19       52.04
        218 |          1        0.19       52.23
        219 |          1        0.19       52.42
        220 |          1        0.19       52.60
        221 |          1        0.19       52.79
        222 |          1        0.19       52.97
        223 |          2        0.37       53.35
        224 |          1        0.19       53.53
        225 |          2        0.37       53.90
        226 |          1        0.19       54.09
        227 |          1        0.19       54.28
        228 |          1        0.19       54.46
        229 |          1        0.19       54.65
        230 |          3        0.56       55.20
        231 |          1        0.19       55.39
        232 |          1        0.19       55.58
        233 |          1        0.19       55.76
        234 |          1        0.19       55.95
        235 |          1        0.19       56.13
        236 |          1        0.19       56.32
        237 |          1        0.19       56.51
        238 |          2        0.37       56.88
        239 |          1        0.19       57.06
        240 |          1        0.19       57.25
        241 |          1        0.19       57.43
        242 |          1        0.19       57.62
        243 |          2        0.37       57.99
        244 |          2        0.37       58.36
        245 |          3        0.56       58.92
        246 |          2        0.37       59.29
        247 |          1        0.19       59.48
        248 |          1        0.19       59.67
        249 |          1        0.19       59.85
        250 |          1        0.19       60.04
        251 |          1        0.19       60.22
        252 |          2        0.37       60.59
        253 |          2        0.37       60.97
        254 |          1        0.19       61.15
        255 |          1        0.19       61.34
        256 |          1        0.19       61.52
        257 |          1        0.19       61.71
        258 |          1        0.19       61.90
        259 |          1        0.19       62.08
        260 |          2        0.37       62.45
        261 |          1        0.19       62.64
        262 |          1        0.19       62.83
        263 |          1        0.19       63.01
        264 |          1        0.19       63.20
        265 |          1        0.19       63.38
        266 |          1        0.19       63.57
        267 |          1        0.19       63.75
        268 |          1        0.19       63.94
        269 |          1        0.19       64.13
        270 |          1        0.19       64.31
        271 |          1        0.19       64.50
        272 |          3        0.56       65.06
        273 |          1        0.19       65.24
        274 |          1        0.19       65.43
        275 |          1        0.19       65.61
        276 |          1        0.19       65.80
        277 |          1        0.19       65.99
        278 |          1        0.19       66.17
        279 |          1        0.19       66.36
        280 |          1        0.19       66.54
        281 |          1        0.19       66.73
        282 |          6        1.12       67.84
        283 |          1        0.19       68.03
        284 |          2        0.37       68.40
        285 |          1        0.19       68.59
        286 |          2        0.37       68.96
        287 |          1        0.19       69.14
        288 |          1        0.19       69.33
        289 |          3        0.56       69.89
        290 |          1        0.19       70.07
        291 |          1        0.19       70.26
        292 |          1        0.19       70.45
        293 |          1        0.19       70.63
        294 |          1        0.19       70.82
        295 |          1        0.19       71.00
        296 |          3        0.56       71.56
        297 |          1        0.19       71.75
        298 |          1        0.19       71.93
        299 |          1        0.19       72.12
        300 |          2        0.37       72.49
        301 |          2        0.37       72.86
        302 |          1        0.19       73.05
        303 |          1        0.19       73.23
        304 |          1        0.19       73.42
        305 |          2        0.37       73.79
        306 |          1        0.19       73.98
        307 |          1        0.19       74.16
        308 |          2        0.37       74.54
        309 |          2        0.37       74.91
        310 |          1        0.19       75.09
        311 |          1        0.19       75.28
        312 |          1        0.19       75.46
        313 |          1        0.19       75.65
        314 |          1        0.19       75.84
        315 |          1        0.19       76.02
        316 |          1        0.19       76.21
        317 |          1        0.19       76.39
        318 |          1        0.19       76.58
        319 |          1        0.19       76.77
        320 |          1        0.19       76.95
        321 |          1        0.19       77.14
        322 |          1        0.19       77.32
        323 |          1        0.19       77.51
        324 |          1        0.19       77.70
        325 |          1        0.19       77.88
        326 |          1        0.19       78.07
        327 |          1        0.19       78.25
        328 |          1        0.19       78.44
        329 |          1        0.19       78.62
        330 |          1        0.19       78.81
        331 |          1        0.19       79.00
        332 |          1        0.19       79.18
        333 |          1        0.19       79.37
        334 |          2        0.37       79.74
        335 |          1        0.19       79.93
        336 |          1        0.19       80.11
        337 |          1        0.19       80.30
        338 |          1        0.19       80.48
        339 |          1        0.19       80.67
        340 |          1        0.19       80.86
        341 |          1        0.19       81.04
        342 |          1        0.19       81.23
        343 |          1        0.19       81.41
        344 |          2        0.37       81.78
        345 |          2        0.37       82.16
        346 |          1        0.19       82.34
        347 |          1        0.19       82.53
        348 |          1        0.19       82.71
        349 |          1        0.19       82.90
        350 |          3        0.56       83.46
        351 |          1        0.19       83.64
        352 |          1        0.19       83.83
        353 |          3        0.56       84.39
        354 |          1        0.19       84.57
        355 |          1        0.19       84.76
        356 |          1        0.19       84.94
        357 |          1        0.19       85.13
        358 |          1        0.19       85.32
        359 |          3        0.56       85.87
        360 |          2        0.37       86.25
        361 |          2        0.37       86.62
        362 |          1        0.19       86.80
        363 |          1        0.19       86.99
        364 |          1        0.19       87.17
        365 |          2        0.37       87.55
        366 |          1        0.19       87.73
        367 |          2        0.37       88.10
        368 |          1        0.19       88.29
        369 |          1        0.19       88.48
        370 |          1        0.19       88.66
        371 |          4        0.74       89.41
        372 |          1        0.19       89.59
        373 |          1        0.19       89.78
        374 |          1        0.19       89.96
        375 |          1        0.19       90.15
        376 |          1        0.19       90.33
        377 |          1        0.19       90.52
        378 |          1        0.19       90.71
        379 |          1        0.19       90.89
        380 |          1        0.19       91.08
        381 |          1        0.19       91.26
        382 |          1        0.19       91.45
        383 |          1        0.19       91.64
        384 |          1        0.19       91.82
        385 |          1        0.19       92.01
        386 |          1        0.19       92.19
        387 |          2        0.37       92.57
        388 |          1        0.19       92.75
        389 |          1        0.19       92.94
        390 |          1        0.19       93.12
        391 |          1        0.19       93.31
        392 |          1        0.19       93.49
        393 |          1        0.19       93.68
        394 |          1        0.19       93.87
        395 |          1        0.19       94.05
        396 |          1        0.19       94.24
        397 |          1        0.19       94.42
        398 |          1        0.19       94.61
        399 |          3        0.56       95.17
        400 |          1        0.19       95.35
        401 |          1        0.19       95.54
        402 |          1        0.19       95.72
        403 |          1        0.19       95.91
        404 |          1        0.19       96.10
        405 |          1        0.19       96.28
        406 |          2        0.37       96.65
        407 |          1        0.19       96.84
        408 |          4        0.74       97.58
        409 |          1        0.19       97.77
        410 |          2        0.37       98.14
        411 |          2        0.37       98.51
        412 |          3        0.56       99.07
        413 |          1        0.19       99.26
        414 |          1        0.19       99.44
        415 |          1        0.19       99.63
        416 |          1        0.19       99.81
        417 |          1        0.19      100.00
------------+-----------------------------------
      Total |        538      100.00

. 
.         * Rank 
.         generate Rank1 = Type

.         recode Rank1 (1 = 2) (2 = 1) (3 = 3) (4 = 7) (5 = 8) (6 = 6) (7 = 5) (8 = 4) (10 = 9), generate(Rank)
(481 differences between Rank1 and Rank)

.         drop Rank1

. 
.         * Rank within a group by Type and Coverage
.         generate Coverage_pop2 = 1/Coverage_pop  // preparing to sort

.         sort Group Coverage_pop2 Rank            // sort by Group, Coverage (inversed) and Rank 

.         quietly by Group :  gen Rank2 = cond(_N==1,0,_n)

.         recode Rank2 (0 =.), generate (Rankgroup) 
(331 differences between Rank2 and Rankgroup)

.         drop Rank2 

. 
.         * labels 
.         label var Group "Groups by elections date and country"

.         label var Rank "Rank based in the elections type hierarchy"

.         label var Coverage_pop2 "Inverted population coverage to be used in sort"

.         label var Rankgroup "Rank within the group by pop coverage and rank"

.           
.         /* Joint elections */
.         
.         * Re-grouping joint elections
.         sum Rankgroup // max 6

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
   Rankgroup |        207     1.84058    .9392703          1          6

.         gen joint_el1 = Type[_n+1] if Rankgroup == 1&Rankgroup[_n+1] == 2&Group == Group[_n+1]
(452 missing values generated)

.         gen joint_el2 = Type[_n+2] if Rankgroup == 1&Rankgroup[_n+2] == 3&Group == Group[_n+2]
(516 missing values generated)

.         gen joint_el3 = Type[_n+3] if Rankgroup == 1&Rankgroup[_n+3] == 4&Group == Group[_n+3]
(529 missing values generated)

.         gen joint_el4 = Type[_n+4] if Rankgroup == 1&Rankgroup[_n+4] == 5&Group == Group[_n+4]
(535 missing values generated)

.         gen joint_el5 = Type[_n+5] if Rankgroup == 1&Rankgroup[_n+5] == 6&Group == Group[_n+5]
(537 missing values generated)

.         
.         * Labels 
.         label var joint_el1 "2nd simultaneous elections"

.         label var joint_el2 "3rd simultaneous elections"

.         label var joint_el3 "4th simultaneous elections"

.         label var joint_el4 "5th simultaneous elections"

.         label var joint_el5 "6th simultaneous elections"

.         
.         * Delete 2nd and more 
.         drop if Rankgroup > 1 & Rankgroup != .
(121 observations deleted)

. 
.         * Dummies for joint elections  
.         forvalues i=1(1)10  { 
  2.         generate Joint`i' = 1 if `i' == joint_el1 | `i' == joint_el2 | `i' == joint_el3  | `i' == joint_el4 | `i' == joint_e
> l5
  3.         }
(409 missing values generated)
(416 missing values generated)
(404 missing values generated)
(389 missing values generated)
(411 missing values generated)
(400 missing values generated)
(402 missing values generated)
(408 missing values generated)
(417 missing values generated)
(417 missing values generated)

.         foreach x of varlist Joint1-Joint10 {
  2.         replace `x' = 0 if (`x' >= .)
  3.         }
(409 real changes made)
(416 real changes made)
(404 real changes made)
(389 real changes made)
(411 real changes made)
(400 real changes made)
(402 real changes made)
(408 real changes made)
(417 real changes made)
(417 real changes made)

.         drop Joint9    // no type 9

.         
.         * Labels
.         label var Joint1 "Joint Presidential"

.         label var Joint2 "Joint Lowerhouse"

.         label var Joint3 "Joint Upperhouse"

.         label var Joint4 "Joint Referendum"

.         label var Joint5 "Joint European"

.         label var Joint6 "Joint Regional"

.         label var Joint7 "Joint Local"

.         label var Joint8 "Joint Municipal"

.         label var Joint10 "Joint Others"

. 
.         save electionsdata_CEE_2.dta, replace
file electionsdata_CEE_2.dta saved

. 
. 
. 
. 
end of do-file

. do "C:\Users\fkostelk\Dropbox\Replication_EF\Code\1_3_1.do"

. *********************************************************************************
. *                                                                               *
. *            Election Frequency - Preparing Varieties of Democracy              *
. *                                                                               *
. *                                                                                                       *
. *                                                                               *
. *********************************************************************************
. 
. global beg_path `"C:\Users\fkostelk\Dropbox\Replication_EF\"'  // F - Home

.  
. use `"${beg_path}Data\Analysis 1\Control Variables\V-Dem-CY-Full+Others-v9.dta"', clear
(V-Dem CY-Full+Others)

. 
. gen GDP_pc = e_migdppc
(12,690 missing values generated)

. 
. encode country_name, gen(temp1)

. fre temp1, all

temp1 -- Country name
------------------------------------------------------------------------------------------
                                             |      Freq.    Percent      Valid       Cum.
---------------------------------------------+--------------------------------------------
Valid   1   Afghanistan                      |        230       0.86       0.86       0.86
        2   Albania                          |        107       0.40       0.40       1.26
        3   Algeria                          |        119       0.44       0.44       1.70
        4   Angola                           |        119       0.44       0.44       2.14
        5   Argentina                        |        230       0.86       0.86       3.00
        6   Armenia                          |         29       0.11       0.11       3.11
        7   Australia                        |        230       0.86       0.86       3.97
        8   Austria                          |        224       0.83       0.83       4.80
        9   Azerbaijan                       |         29       0.11       0.11       4.91
        10  Baden                            |         83       0.31       0.31       5.22
        11  Bahrain                          |        119       0.44       0.44       5.66
        12  Bangladesh                       |         48       0.18       0.18       5.84
        13  Barbados                         |        119       0.44       0.44       6.28
        14  Bavaria                          |         83       0.31       0.31       6.59
        15  Belarus                          |         29       0.11       0.11       6.70
        16  Belgium                          |        196       0.73       0.73       7.43
        17  Benin                            |        119       0.44       0.44       7.87
        18  Bhutan                           |        119       0.44       0.44       8.32
        19  Bolivia                          |        194       0.72       0.72       9.04
        20  Bosnia and Herzegovina           |         27       0.10       0.10       9.14
        21  Botswana                         |        119       0.44       0.44       9.58
        22  Brazil                           |        230       0.86       0.86      10.44
        23  Brunswick                        |         74       0.28       0.28      10.72
        24  Bulgaria                         |        141       0.53       0.53      11.24
        25  Burkina Faso                     |         85       0.32       0.32      11.56
        26  Burma/Myanmar                    |        230       0.86       0.86      12.42
        27  Burundi                          |        103       0.38       0.38      12.80
        28  Cambodia                         |        119       0.44       0.44      13.24
        29  Cameroon                         |         58       0.22       0.22      13.46
        30  Canada                           |        178       0.66       0.66      14.12
        31  Cape Verde                       |        119       0.44       0.44      14.57
        32  Central African Republic         |         99       0.37       0.37      14.94
        33  Chad                             |         99       0.37       0.37      15.31
        34  Chile                            |        230       0.86       0.86      16.16
        35  China                            |        230       0.86       0.86      17.02
        36  Colombia                         |        230       0.86       0.86      17.88
        37  Comoros                          |         87       0.32       0.32      18.20
        38  Costa Rica                       |        181       0.67       0.67      18.88
        39  Croatia                          |         32       0.12       0.12      18.99
        40  Cuba                             |        230       0.86       0.86      19.85
        41  Cyprus                           |        119       0.44       0.44      20.30
        42  Czech Republic                   |        101       0.38       0.38      20.67
        43  Democratic Republic of the Congo |        119       0.44       0.44      21.12
        44  Denmark                          |        230       0.86       0.86      21.97
        45  Djibouti                         |        119       0.44       0.44      22.42
        46  Dominican Republic               |        209       0.78       0.78      23.19
        47  Ecuador                          |        189       0.70       0.70      23.90
        48  Egypt                            |        230       0.86       0.86      24.76
        49  El Salvador                      |        181       0.67       0.67      25.43
        50  Equatorial Guinea                |        119       0.44       0.44      25.87
        51  Eritrea                          |        119       0.44       0.44      26.32
        52  Estonia                          |         51       0.19       0.19      26.51
        53  Ethiopia                         |        230       0.86       0.86      27.36
        54  Fiji                             |        119       0.44       0.44      27.81
        55  Finland                          |        210       0.78       0.78      28.59
        56  France                           |        230       0.86       0.86      29.45
        57  Gabon                            |        109       0.41       0.41      29.85
        58  Georgia                          |         29       0.11       0.11      29.96
        59  German Democratic Republic       |         46       0.17       0.17      30.13
        60  Germany                          |        226       0.84       0.84      30.98
        61  Ghana                            |        117       0.44       0.44      31.41
        62  Greece                           |        197       0.73       0.73      32.15
        63  Guatemala                        |        230       0.86       0.86      33.00
        64  Guinea                           |        119       0.44       0.44      33.45
        65  Guinea-Bissau                    |        119       0.44       0.44      33.89
        66  Guyana                           |        119       0.44       0.44      34.33
        67  Haiti                            |        230       0.86       0.86      35.19
        68  Hamburg                          |         79       0.29       0.29      35.48
        69  Hanover                          |         76       0.28       0.28      35.77
        70  Hesse-Darmstadt                  |         83       0.31       0.31      36.08
        71  Hesse-Kassel                     |         78       0.29       0.29      36.37
        72  Honduras                         |        181       0.67       0.67      37.04
        73  Hong Kong                        |        119       0.44       0.44      37.49
        74  Hungary                          |        230       0.86       0.86      38.34
        75  Iceland                          |        119       0.44       0.44      38.79
        76  India                            |        230       0.86       0.86      39.64
        77  Indonesia                        |        219       0.82       0.82      40.46
        78  Iran                             |        230       0.86       0.86      41.32
        79  Iraq                             |         99       0.37       0.37      41.69
        80  Ireland                          |        100       0.37       0.37      42.06
        81  Israel                           |         71       0.26       0.26      42.32
        82  Italy                            |        158       0.59       0.59      42.91
        83  Ivory Coast                      |        119       0.44       0.44      43.36
        84  Jamaica                          |        119       0.44       0.44      43.80
        85  Japan                            |        230       0.86       0.86      44.66
        86  Jordan                           |         97       0.36       0.36      45.02
        87  Kazakhstan                       |         29       0.11       0.11      45.13
        88  Kenya                            |        119       0.44       0.44      45.57
        89  Kosovo                           |         20       0.07       0.07      45.64
        90  Kuwait                           |        230       0.86       0.86      46.50
        91  Kyrgyzstan                       |         29       0.11       0.11      46.61
        92  Laos                             |        119       0.44       0.44      47.05
        93  Latvia                           |         49       0.18       0.18      47.23
        94  Lebanon                          |        101       0.38       0.38      47.61
        95  Lesotho                          |        119       0.44       0.44      48.05
        96  Liberia                          |        198       0.74       0.74      48.79
        97  Libya                            |        145       0.54       0.54      49.33
        98  Lithuania                        |         51       0.19       0.19      49.52
        99  Luxembourg                       |        204       0.76       0.76      50.28
        100 Macedonia                        |         28       0.10       0.10      50.39
        101 Madagascar                       |        202       0.75       0.75      51.14
        102 Malawi                           |        119       0.44       0.44      51.58
        103 Malaysia                         |        119       0.44       0.44      52.03
        104 Maldives                         |        119       0.44       0.44      52.47
        105 Mali                             |        119       0.44       0.44      52.91
        106 Malta                            |        119       0.44       0.44      53.36
        107 Mauritania                       |        115       0.43       0.43      53.79
        108 Mauritius                        |        119       0.44       0.44      54.23
        109 Mecklenburg Schwerin             |         79       0.29       0.29      54.52
        110 Mexico                           |        230       0.86       0.86      55.38
        111 Modena                           |         55       0.20       0.20      55.59
        112 Moldova                          |         29       0.11       0.11      55.69
        113 Mongolia                         |        108       0.40       0.40      56.10
        114 Montenegro                       |        151       0.56       0.56      56.66
        115 Morocco                          |        230       0.86       0.86      57.52
        116 Mozambique                       |        119       0.44       0.44      57.96
        117 Namibia                          |        119       0.44       0.44      58.40
        118 Nassau                           |         61       0.23       0.23      58.63
        119 Nepal                            |        230       0.86       0.86      59.49
        120 Netherlands                      |        228       0.85       0.85      60.34
        121 New Zealand                      |        178       0.66       0.66      61.00
        122 Nicaragua                        |        181       0.67       0.67      61.68
        123 Niger                            |         97       0.36       0.36      62.04
        124 Nigeria                          |        105       0.39       0.39      62.43
        125 North Korea                      |         74       0.28       0.28      62.70
        126 Norway                           |        230       0.86       0.86      63.56
        127 Oldenburg                        |         77       0.29       0.29      63.85
        128 Oman                             |        230       0.86       0.86      64.71
        129 Pakistan                         |         72       0.27       0.27      64.97
        130 Palestine/British Mandate        |         31       0.12       0.12      65.09
        131 Palestine/Gaza                   |         31       0.12       0.12      65.20
        132 Palestine/West Bank              |         54       0.20       0.20      65.41
        133 Panama                           |        116       0.43       0.43      65.84
        134 Papal States                     |         69       0.26       0.26      66.10
        135 Papua New Guinea                 |        119       0.44       0.44      66.54
        136 Paraguay                         |        208       0.78       0.78      67.31
        137 Parma                            |         60       0.22       0.22      67.54
        138 Peru                             |        230       0.86       0.86      68.39
        139 Philippines                      |        119       0.44       0.44      68.84
        140 Piedmont-Sardinia                |         73       0.27       0.27      69.11
        141 Poland                           |        164       0.61       0.61      69.72
        142 Portugal                         |        230       0.86       0.86      70.58
        143 Qatar                            |        119       0.44       0.44      71.02
        144 Republic of Vietnam              |        174       0.65       0.65      71.67
        145 Republic of the Congo            |        116       0.43       0.43      72.10
        146 Romania                          |        230       0.86       0.86      72.96
        147 Russia                           |        230       0.86       0.86      73.82
        148 Rwanda                           |        103       0.38       0.38      74.20
        149 Sao Tome and Principe            |        119       0.44       0.44      74.64
        150 Saudi Arabia                     |        227       0.85       0.85      75.49
        151 Saxe-Weimar-Eisenach             |         59       0.22       0.22      75.71
        152 Saxony                           |         79       0.29       0.29      76.00
        153 Senegal                          |        115       0.43       0.43      76.43
        154 Serbia                           |        214       0.80       0.80      77.23
        155 Seychelles                       |        116       0.43       0.43      77.66
        156 Sierra Leone                     |        119       0.44       0.44      78.11
        157 Singapore                        |        152       0.57       0.57      78.67
        158 Slovakia                         |         32       0.12       0.12      78.79
        159 Slovenia                         |         30       0.11       0.11      78.90
        160 Solomon Islands                  |        119       0.44       0.44      79.35
        161 Somalia                          |        119       0.44       0.44      79.79
        162 Somaliland                       |         88       0.33       0.33      80.12
        163 South Africa                     |        119       0.44       0.44      80.56
        164 South Korea                      |        230       0.86       0.86      81.42
        165 South Sudan                      |          8       0.03       0.03      81.45
        166 South Yemen                      |         91       0.34       0.34      81.79
        167 Spain                            |        230       0.86       0.86      82.65
        168 Sri Lanka                        |        119       0.44       0.44      83.09
        169 Sudan                            |        119       0.44       0.44      83.53
        170 Suriname                         |        119       0.44       0.44      83.98
        171 Swaziland                        |        119       0.44       0.44      84.42
        172 Sweden                           |        230       0.86       0.86      85.28
        173 Switzerland                      |        221       0.82       0.82      86.10
        174 Syria                            |         99       0.37       0.37      86.47
        175 Taiwan                           |        119       0.44       0.44      86.91
        176 Tajikistan                       |         29       0.11       0.11      87.02
        177 Tanzania                         |        105       0.39       0.39      87.41
        178 Thailand                         |        230       0.86       0.86      88.27
        179 The Gambia                       |        119       0.44       0.44      88.71
        180 Timor-Leste                      |        119       0.44       0.44      89.16
        181 Togo                             |        103       0.38       0.38      89.54
        182 Trinidad and Tobago              |        119       0.44       0.44      89.98
        183 Tunisia                          |        230       0.86       0.86      90.84
        184 Turkey                           |        230       0.86       0.86      91.70
        185 Turkmenistan                     |         29       0.11       0.11      91.81
        186 Tuscany                          |         67       0.25       0.25      92.05
        187 Two Sicilies                     |         72       0.27       0.27      92.32
        188 Uganda                           |        119       0.44       0.44      92.77
        189 Ukraine                          |         29       0.11       0.11      92.87
        190 United Arab Emirates             |         48       0.18       0.18      93.05
        191 United Kingdom                   |        230       0.86       0.86      93.91
        192 United States of America         |        230       0.86       0.86      94.77
        193 Uruguay                          |        194       0.72       0.72      95.49
        194 Uzbekistan                       |        161       0.60       0.60      96.09
        195 Vanuatu                          |        119       0.44       0.44      96.53
        196 Venezuela                        |        220       0.82       0.82      97.35
        197 Vietnam                          |         74       0.28       0.28      97.63
        198 Würtemberg                       |         83       0.31       0.31      97.94
        199 Yemen                            |        163       0.61       0.61      98.55
        200 Zambia                           |        108       0.40       0.40      98.95
        201 Zanzibar                         |        163       0.61       0.61      99.56
        202 Zimbabwe                         |        119       0.44       0.44     100.00
        Total                                |      26834     100.00     100.00           
------------------------------------------------------------------------------------------

. 
. gen Country = . 
(26,834 missing values generated)

. replace Country =       1       if temp1 ==     44       //     DK
(230 real changes made)

. replace Country =       2       if temp1 ==     167      //     ES
(230 real changes made)

. replace Country =       3       if temp1 ==     55       //     FI
(210 real changes made)

. replace Country =       4       if temp1 ==     56   // FR
(230 real changes made)

. replace Country =       5       if temp1 ==     62       //     GR
(197 real changes made)

. replace Country =       6       if temp1 ==     80       //     IE
(100 real changes made)

. replace Country =       7       if temp1 ==     75       //     IS
(119 real changes made)

. replace Country =       8       if temp1 ==     106      //     MT
(119 real changes made)

. replace Country =       9       if temp1 ==     120      //     NL
(228 real changes made)

. replace Country =       10      if temp1 ==     126      //     NO
(230 real changes made)

. replace Country =       11      if temp1 ==     142      //     PT
(230 real changes made)

. replace Country =       12      if temp1 ==     172      //     SE
(230 real changes made)

. replace Country =       21  if temp1 == 24       //     Bulgaria
(141 real changes made)

. replace Country =       22  if temp1 == 42       //     Czech Republic 
(101 real changes made)

. replace Country =       23  if temp1 == 52       //     Estonia
(51 real changes made)

. replace Country =       24  if temp1 == 74       //     Hungary
(230 real changes made)

. replace Country =       25  if temp1 == 93       //     Latvia
(49 real changes made)

. replace Country =       26  if temp1 == 98       //     Lithuania
(51 real changes made)

. replace Country =       27  if temp1 == 141      //     Poland
(164 real changes made)

. replace Country =       28  if temp1 == 146      //     Romania
(230 real changes made)

. replace Country =       29  if temp1 == 158  // Slovakia
(32 real changes made)

. replace Country =       30  if temp1 == 159      //     Slovenia
(30 real changes made)

. 
. keep if Country !=.
(23,402 observations deleted)

. rename year Year

. keep Country Year GDP_pc 

. 
. save  `"${beg_path}Data\Analysis 1\Control Variables\VOD_to_merge.dta"', replace
file C:\Users\fkostelk\Dropbox\Replication_EF\Data\Analysis 1\Control Variables\VOD_to_merge.dta saved

.  
. 
end of do-file

. do "C:\Users\fkostelk\Dropbox\Replication_EF\Code\1_3_2.do" 

. *********************************************************************************
. *                                                                               *
. *            Election Frequency - Preparing Manifesto Project Dataset               *
. *                                                                               *
. *                                                                                                       *
. *                                                                               *
. *********************************************************************************
. 
. 
. global beg_path `"C:\Users\fkostelk\Dropbox\Replication_EF\"'  // F - Home

. 
. use `"${beg_path}Data\Analysis 1\Control Variables\MPDataset_MPDS2019b_stata14.dta"', clear
(Manifesto Project Dataset Version 2019b. Please type "notes" for more details)

. 
. gen temp1_left = per404 + per405 + per409 + per412 + per413 + per415 + per504 + per701 // Economic planning  Corporatism Keynes
> ian management Controlled economy Nationalisation Marxist analysis Welfare expansion Labour groups 
(35 missing values generated)

. gen temp1_right = per401 + per402 + per414 + per505 + per702 + per704 // Free enterprise Incentives Economic orthodoxy Welfare 
> limitation Against labour groups Middle class and professional groups
(35 missing values generated)

. gen economic_axis = temp1_left/(temp1_left+temp1_right)*100
(117 missing values generated)

. list party if temp1_left ==.

      +---------------------------------------------------+
      | party                                             |
      |---------------------------------------------------|
 499. | dnk: Danish Social-Liberal Party                  |
 769. | isl: Centre Party                                 |
1692. | grc: Popular Orthodox Rally                       |
1717. | grc: Democratic Left                              |
1720. | grc: The River                                    |
      |---------------------------------------------------|
1723. | grc: Golden Dawn                                  |
1724. | grc: Independent Greeks                           |
2132. | che: Ticino League                                |
2883. | jpn: Party for Future Generations                 |
3038. | isr: United Arab List - Arab movement for revival |
      |---------------------------------------------------|
3045. | isr: United Torah Judaism                         |
3047. | isr: National Union                               |
3049. | isr: National Democratic Assembly                 |
3050. | isr: Pensioners Party                             |
3057. | isr: United Torah Judaism                         |
      |---------------------------------------------------|
3062. | isr: National Democratic Assembly                 |
3069. | isr: The Consolidation                            |
3070. | isr: Israel is Our Home                           |
3365. | bgr: Movement for Rights and Freedoms             |
3438. | hrv: The Only Option Coalition                    |
      |---------------------------------------------------|
3806. | mkd: Liberal Party of Macedonia                   |
3812. | mkd: Liberal Democratic Party                     |
3818. | mkd: Democratic Party of Albanians                |
3831. | mkd: Socialist Party of Macedonia                 |
3843. | mkd: Democratic Union for Integration             |
      |---------------------------------------------------|
3906. | mne: Social Democratic Party of Montenegro        |
3908. | mne: People’s Party                               |
3909. | mne: Serbian People's Party                       |
3911. | mne: Socialist People’s Party of Montenegro       |
3914. | mne: People’s Party                               |
      |---------------------------------------------------|
4134. | srb: Socialist Party of Serbia                    |
4137. | srb: Serbian Radical Party                        |
4164. | srb: Party of Democratic Action                   |
4165. | srb: Party for Democratic Activity                |
4237. | svk: Direction-Social Democracy                   |
      +---------------------------------------------------+

. list party if temp1_right ==.

      +---------------------------------------------------+
      | party                                             |
      |---------------------------------------------------|
 499. | dnk: Danish Social-Liberal Party                  |
 769. | isl: Centre Party                                 |
1692. | grc: Popular Orthodox Rally                       |
1717. | grc: Democratic Left                              |
1720. | grc: The River                                    |
      |---------------------------------------------------|
1723. | grc: Golden Dawn                                  |
1724. | grc: Independent Greeks                           |
2132. | che: Ticino League                                |
2883. | jpn: Party for Future Generations                 |
3038. | isr: United Arab List - Arab movement for revival |
      |---------------------------------------------------|
3045. | isr: United Torah Judaism                         |
3047. | isr: National Union                               |
3049. | isr: National Democratic Assembly                 |
3050. | isr: Pensioners Party                             |
3057. | isr: United Torah Judaism                         |
      |---------------------------------------------------|
3062. | isr: National Democratic Assembly                 |
3069. | isr: The Consolidation                            |
3070. | isr: Israel is Our Home                           |
3365. | bgr: Movement for Rights and Freedoms             |
3438. | hrv: The Only Option Coalition                    |
      |---------------------------------------------------|
3806. | mkd: Liberal Party of Macedonia                   |
3812. | mkd: Liberal Democratic Party                     |
3818. | mkd: Democratic Party of Albanians                |
3831. | mkd: Socialist Party of Macedonia                 |
3843. | mkd: Democratic Union for Integration             |
      |---------------------------------------------------|
3906. | mne: Social Democratic Party of Montenegro        |
3908. | mne: People’s Party                               |
3909. | mne: Serbian People's Party                       |
3911. | mne: Socialist People’s Party of Montenegro       |
3914. | mne: People’s Party                               |
      |---------------------------------------------------|
4134. | srb: Socialist Party of Serbia                    |
4137. | srb: Serbian Radical Party                        |
4164. | srb: Party of Democratic Action                   |
4165. | srb: Party for Democratic Activity                |
4237. | svk: Direction-Social Democracy                   |
      +---------------------------------------------------+

. list party if economic_axis ==. 

      +----------------------------------------------------------------------------------------+
      | party                                                                                  |
      |----------------------------------------------------------------------------------------|
 468. | dnk: Danish People’s Party                                                             |
 499. | dnk: Danish Social-Liberal Party                                                       |
 504. | fin: Finnish Social Democrats                                                          |
 543. | fin: Finnish Social Democrats                                                          |
 769. | isl: Centre Party                                                                      |
      |----------------------------------------------------------------------------------------|
 820. | bel: Humanist Democratic Centre                                                        |
1323. | ita: Italian Popular Party                                                             |
1373. | ita: National Alliance                                                                 |
1406. | ita: Pannella-Sgarbi List                                                              |
1412. | ita: National Alliance                                                                 |
      |----------------------------------------------------------------------------------------|
1418. | ita: Pannella-Sgarbi List                                                              |
1430. | ita: Pannella-Sgarbi List                                                              |
1490. | ita: Coalition of South Tyrolean People’s Party and Trentino Tyrolean Autonomist Party |
1692. | grc: Popular Orthodox Rally                                                            |
1717. | grc: Democratic Left                                                                   |
      |----------------------------------------------------------------------------------------|
1720. | grc: The River                                                                         |
1723. | grc: Golden Dawn                                                                       |
1724. | grc: Independent Greeks                                                                |
1753. | prt: Ecologist Party ‘The Greens'                                                      |
1761. | prt: Ecologist Party ‘The Greens'                                                      |
      |----------------------------------------------------------------------------------------|
1769. | prt: Ecologist Party ‘The Greens'                                                      |
2132. | che: Ticino League                                                                     |
2233. | nir: Nationalist Party                                                                 |
2243. | nir: Nationalist Party                                                                 |
2248. | nir: Unionist Party                                                                    |
      |----------------------------------------------------------------------------------------|
2257. | nir: Nationalist Party                                                                 |
2299. | irl: Soldiers of Destiny                                                               |
2557. | aus: National Party of Australia                                                       |
2820. | jpn: Social Democratic Federation                                                      |
2827. | jpn: Liberal Democratic Party                                                          |
      |----------------------------------------------------------------------------------------|
2830. | jpn: Japan New Party                                                                   |
2883. | jpn: Party for Future Generations                                                      |
2884. | isr: Israel Communist Party                                                            |
2888. | isr: Union of Israel                                                                   |
2894. | isr: Union of Israel                                                                   |
      |----------------------------------------------------------------------------------------|
2897. | isr: United Workers’ Party                                                             |
2902. | isr: Union of Israel                                                                   |
2910. | isr: Union of Israel                                                                   |
2912. | isr: Israel Communist Party                                                            |
2919. | isr: Freedom                                                                           |
      |----------------------------------------------------------------------------------------|
2921. | isr: New Communist Party                                                               |
2930. | isr: New Communist Party                                                               |
2933. | isr: National Religious Party                                                          |
2939. | isr: New Communist Party                                                               |
2940. | isr: Citizens’ Rights Movement                                                         |
      |----------------------------------------------------------------------------------------|
2943. | isr: National Religious Party                                                          |
2944. | isr: Union of Israel                                                                   |
2947. | isr: Democratic Front for Peace and Equality                                           |
2952. | isr: National Religious Party                                                          |
2953. | isr: Union of Israel                                                                   |
      |----------------------------------------------------------------------------------------|
2956. | isr: Peace for Israel                                                                  |
2958. | isr: Citizens’ Rights Movement                                                         |
2961. | isr: Change                                                                            |
2962. | isr: National Religious Party                                                          |
2965. | isr: Renaissance Movement                                                              |
      |----------------------------------------------------------------------------------------|
2981. | isr: Progressive List for Peace                                                        |
2982. | isr: Democratic Front for Peace and Equality                                           |
2987. | isr: Union of Israel                                                                   |
2988. | isr: Sephardi Torah Guardians                                                          |
2991. | isr: Torah Flag                                                                        |
      |----------------------------------------------------------------------------------------|
2992. | isr: Homeland                                                                          |
2998. | isr: Sephardi Torah Guardians                                                          |
3007. | isr: The Third Way                                                                     |
3008. | isr: Israel for Immigration                                                            |
3010. | isr: Sephardi Torah Guardians                                                          |
      |----------------------------------------------------------------------------------------|
3011. | isr: United Torah Judaism                                                              |
3022. | isr: Sephardi Torah Guardians                                                          |
3035. | isr: The Consolidation                                                                 |
3037. | isr: National Democratic Assembly                                                      |
3038. | isr: United Arab List - Arab movement for revival                                      |
      |----------------------------------------------------------------------------------------|
3045. | isr: United Torah Judaism                                                              |
3047. | isr: National Union                                                                    |
3048. | isr: Israel is Our Home                                                                |
3049. | isr: National Democratic Assembly                                                      |
3050. | isr: Pensioners Party                                                                  |
      |----------------------------------------------------------------------------------------|
3051. | isr: United Arab List - Arab movement for revival                                      |
3057. | isr: United Torah Judaism                                                              |
3062. | isr: National Democratic Assembly                                                      |
3069. | isr: The Consolidation                                                                 |
3070. | isr: Israel is Our Home                                                                |
      |----------------------------------------------------------------------------------------|
3079. | isr: The Consolidation                                                                 |
3214. | arm: Semiramis (Women’s Movement)                                                      |
3225. | arm: Republican Party of Armenia                                                       |
3365. | bgr: Movement for Rights and Freedoms                                                  |
3371. | hrv: Green Alliance of Croatia                                                         |
      |----------------------------------------------------------------------------------------|
3393. | hrv: Croatian Democratic Union                                                         |
3438. | hrv: The Only Option Coalition                                                         |
3457. | cze: Association for the Republic – Republican Party of Czechoslovakia                 |
3514. | est: Electoral Union ‘Independent Royalists'                                           |
3580. | geo: Political Alliance ‘Support’                                                      |
      |----------------------------------------------------------------------------------------|
3630. | hun: Agrarian Alliance                                                                 |
3672. | lva: For Fatherland and Freedom                                                        |
3806. | mkd: Liberal Party of Macedonia                                                        |
3812. | mkd: Liberal Democratic Party                                                          |
3818. | mkd: Democratic Party of Albanians                                                     |
      |----------------------------------------------------------------------------------------|
3831. | mkd: Socialist Party of Macedonia                                                      |
3835. | mkd: Democratic Party of Albanians                                                     |
3843. | mkd: Democratic Union for Integration                                                  |
3903. | mne: Liberal Alliance of Montenegro                                                    |
3906. | mne: Social Democratic Party of Montenegro                                             |
      |----------------------------------------------------------------------------------------|
3908. | mne: People’s Party                                                                    |
3909. | mne: Serbian People's Party                                                            |
3911. | mne: Socialist People’s Party of Montenegro                                            |
3914. | mne: People’s Party                                                                    |
3921. | mne: Serb list                                                                         |
      |----------------------------------------------------------------------------------------|
3973. | pol: Polish Peasants' Party                                                            |
4110. | srb: Peasants Party of Serbia                                                          |
4111. | srb: Democratic Community of Magyars of Vojvodina                                      |
4112. | srb: Socialist Party of Serbia                                                         |
4120. | srb: Democratic Community of Magyars of Vojvodina                                      |
      |----------------------------------------------------------------------------------------|
4121. | srb: Coalition of Albanian Parties                                                     |
4134. | srb: Socialist Party of Serbia                                                         |
4137. | srb: Serbian Radical Party                                                             |
4164. | srb: Party of Democratic Action                                                        |
4165. | srb: Party for Democratic Activity                                                     |
      |----------------------------------------------------------------------------------------|
4237. | svk: Direction-Social Democracy                                                        |
4253. | svn: Slovenian Peasant League                                                          |
      +----------------------------------------------------------------------------------------+

. gen temp2 = 0

. replace temp2 = 1 if economic_axis ==. & pervote > 5     
(56 real changes made)

. egen eco_miss = max(temp2), by(country edate)  // creates an id variable for elections where a party is missing on the eco axis
>  (only parties with vote shares larger than 5 pp) 

. 
. *Cultural Axis
. gen temp2_left = per103 + per107 + per503 + per602 + per604 + per607 // Anti-imperialism Internationalism Social justice Anti-n
> ationalism Against traditions Multi-culturalism 
(35 missing values generated)

. gen temp2_right = per109 + per305 + per601 + per603 + per605 + per608 // Anti-internationalism Political authority Nationalism 
> Traditions Law and order Against multi-culturalism
(35 missing values generated)

. gen cultural_axis = temp2_left/(temp2_left+temp2_right)*100 
(91 missing values generated)

. 
. gen temp3 = 0

. replace temp3 = 1 if cultural_axis ==. & pervote > 5     
(60 real changes made)

. egen cul_miss = max(temp2), by(country edate)  // creates an id variable for elections where a party is missing on the cultural
>  axis (only parties with vote shares larger than 5 pp) 

. 
. gen temp4=0

. replace temp4 = 1 if rile ==. & pervote > 5
(17 real changes made)

. egen rile_miss = max(temp4), by(country edate)

. 
. replace economic_axis = . if eco_miss == 1 
(293 real changes made, 293 to missing)

. replace cultural_axis = . if cul_miss ==1 
(341 real changes made, 341 to missing)

. replace rile = . if rile_miss ==1 
(78 real changes made, 78 to missing)

. 
. collapse (sd) cultural_axis economic_axis rile (iqr) iqrcul=cultural_axis iqreco = economic_axis iqrrile = rile (min) ///
> mincul = cultural_axis mineco = economic_axis minrile = rile (max) maxcul = cultural_axis maxeco = economic_axis maxrile = rile
>  [iw=pervote] ///
> , by(country date) // weighed

. 
. **** Merging variables ****
. 
. tostring date, gen(temp1) 
temp1 generated as str6

. gen Year = substr(temp1, 1, 4)

. destring Year, replace
Year: all characters numeric; replaced as int

. 
. 
. gen Country = . 
(722 missing values generated)

. replace Country =       1       if country ==   13       //     DK
(27 real changes made)

. replace Country =       2       if country ==   33       //     ES
(13 real changes made)

. replace Country =       3       if country ==   14       //     FI
(20 real changes made)

. replace Country =       4       if country ==   31       //     FR
(18 real changes made)

. replace Country =       5       if country ==   34       //     GR
(17 real changes made)

. replace Country =       6       if country ==   53       //     IE
(20 real changes made)

. replace Country =       7       if country ==   15       //     IS
(23 real changes made)

. replace Country =       8       if country ==   54       //     MT
(2 real changes made)

. replace Country =       9       if country ==   22       //     NL
(22 real changes made)

. replace Country =       10      if country ==   12       //     NO
(19 real changes made)

. replace Country =       11      if country ==   35       //     PT
(15 real changes made)

. replace Country =       12      if country ==   11       //     SE
(23 real changes made)

. replace Country =       21  if country ==       80       //     Bulgaria
(10 real changes made)

. replace Country =       22  if country ==       82       //     Czech Republic 
(9 real changes made)

. replace Country =       23  if country ==       83       //     Estonia
(7 real changes made)

. replace Country =       24  if country ==       86       //     Hungary
(7 real changes made)

. replace Country =       25  if country ==       87       //     Latvia
(9 real changes made)

. replace Country =       26  if country ==       88       //     Lithuania
(7 real changes made)

. replace Country =       27  if country ==       92       //     Poland
(7 real changes made)

. replace Country =       28  if country ==       93       //     Romania
(8 real changes made)

. replace Country =       29  if country ==       96       //     Slovakia
(9 real changes made)

. replace Country =       30  if country ==       97       //     Slovenia
(8 real changes made)

. 
. sort Country Year date

. quietly by Country Year:  gen dup = cond(_N==1,0,_n)

. 
. gen legislative = 1 

. 
. replace dup = 2 if Country == 4 & Year == 1946  // The coded election is the second one from 1946.
(1 real change made)

. 
. keep if Country !=.
(422 observations deleted)

. keep Country  Year rile economic_axis cultural_axis dup legislative

. save  `"${beg_path}Data\Analysis 1\Control Variables\MP_to_merge.dta"', replace
file C:\Users\fkostelk\Dropbox\Replication_EF\Data\Analysis 1\Control Variables\MP_to_merge.dta saved

. 
. 
end of do-file

. do "C:\Users\fkostelk\Dropbox\Replication_EF\Code\1_3_3.do" 

. *********************************************************************************
. *                                                                               *
. *                Election Frequency - Preparing the Dataset                         *
. *                                                                               *
. *                           Adding controls                                     *
. *                                                                               *
. *********************************************************************************
. 
. 
. 
. global beg_path `"C:\Users\fkostelk\Dropbox\Replication_EF\"'  // F - Home

.  
. cd `"${beg_path}Data\Analysis 1\"'
C:\Users\fkostelk\Dropbox\Replication_EF\Data\Analysis 1

. 
. use electionsdata_2.dta, clear

. 
. *** Encoding country
. encode Country, gen(country)

. drop Country

. rename country Country 

. order Country, before(ID)

. 
. *** Adding data from CEE 
. append using  electionsdata_CEE_2.dta
(variable Country was long, now double to accommodate using data's values)
(label Type already defined)
(label Nondem already defined)

. label define Country 1 "Denmark" 2 "Spain" 3 "Finland" 4"France" 5 "Greece" 6"Ireland" 7"Iceland" 8"Malta" 9"Netherlands" 10"No
> rway" 11"Portugal" 12"Sweden" ///
>  21 "Bulgaria" 22 "Czech Republic" 23  "Estonia" 24  "Hungary" 25  "Latvia" 26  "Lithuania" 27 "Poland" 28  "Romania" 29  "Slov
> akia" 30 "Slovenia", modify

. label values Country Country

. 
. *** Generate a dummy for legislative elections 
. gen legislative = Type ==2 

. 
. *Variable to identify legislative elections that were held in the same year
. sort Country legislative Year Round date

. quietly by Country legislative Year Round:  gen dup = cond(_N==1,0,_n)

. replace dup = . if Type !=2 
(850 real changes made, 850 to missing)

. fre dup 

dup
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   0     |        368      29.73      94.85      94.85
        1     |         10       0.81       2.58      97.42
        2     |         10       0.81       2.58     100.00
        Total |        388      31.34     100.00           
Missing .     |        850      68.66                      
Total         |       1238     100.00                      
-----------------------------------------------------------

. 
. list Country legislative Year Round date Date if dup>0 & dup!=.

      +------------------------------------------------------+
      | Country   legisl~e   Year   Round    date       Date |
      |------------------------------------------------------|
  48. | Denmark          1   1953       1   -2446    21/4/53 |
  49. | Denmark          1   1953       1   -2292    22/9/53 |
 153. |   Spain          1   2019       1   21667    28/4/19 |
 154. |   Spain          1   2019       1   21863   10/11/19 |
 335. |  France          1   1946       1   -4961     2/6/46 |
      |------------------------------------------------------|
 336. |  France          1   1946       1   -4800   10/11/46 |
 408. |  Greece          1   1989       1   10761    18/6/89 |
 409. |  Greece          1   1989       1   10901    5/11/89 |
 417. |  Greece          1   2012       1   19119     6/5/12 |
 418. |  Greece          1   2012       1   19161    17/6/12 |
      |------------------------------------------------------|
 419. |  Greece          1   2015       1   20113    25/1/15 |
 420. |  Greece          1   2015       1   20351    20/9/15 |
 482. | Ireland          1   1982       1    8084    18/2/82 |
 483. | Ireland          1   1982       1    8363   24/11/82 |
 535. | Iceland          1   1942       1   -6419     5/6/42 |
      |------------------------------------------------------|
 536. | Iceland          1   1942       1   -6283   19/10/42 |
 541. | Iceland          1   1959       1    -187    28/6/59 |
 542. | Iceland          1   1959       1     -67   26/10/59 |
 928. | Estonia          1   1990       1   11012   24/02/90 |
 929. | Estonia          1   1990       1   11034   18/03/90 |
      +------------------------------------------------------+

. 
. merge m:1 Country Year using `"${beg_path}Data\Analysis 1\Control Variables\VOD_to_merge.dta"'
(variable Year was int, now double to accommodate using data's values)

    Result                      Number of obs
    -----------------------------------------
    Not matched                         2,743
        from master                        53  (_merge==1)
        from using                      2,690  (_merge==2)

    Matched                             1,185  (_merge==3)
    -----------------------------------------

. drop if _merge ==2
(2,690 observations deleted)

. drop _merge

. merge m:1 Country Year legislative dup using `"${beg_path}Data\Analysis 1\Control Variables\MP_to_merge.dta"'

    Result                      Number of obs
    -----------------------------------------
    Not matched                           912
        from master                       912  (_merge==1)
        from using                          0  (_merge==2)

    Matched                               326  (_merge==3)
    -----------------------------------------

. drop if _merge ==2
(0 observations deleted)

. drop _merge

. 
. save electionsdata_3.dta, replace
file electionsdata_3.dta saved

. 
. 
. 
end of do-file

. do "C:\Users\fkostelk\Dropbox\Replication_EF\Code\1_4.do" 

. *********************************************************************************
. *                                                                               *
. *                Election Frequency - Preparing the Dataset                         *
. *                                                                               *
. *                                         Indexes                                       *
. *                                                                               *
. *********************************************************************************
.  
. global beg_path `"C:\Users\fkostelk\Dropbox\Replication_EF\"'  // F - Home

.  
. cd `"${beg_path}Data\Analysis 1\"'
C:\Users\fkostelk\Dropbox\Replication_EF\Data\Analysis 1

. use electionsdata_3.dta, clear

. 
. *\ National Elections (1st post-war & democratic) \*
. 
. ***** Ranked elecetions
. 
. * creating groups
. sort Country Type date

. 
. * Creating dummy for national elections
. gen filter_el = 1

. replace filter_el = 0 if Nondem == 1
(50 real changes made)

. replace filter_el = 0 if Country == 5 & Year == 1964 & Type == 2 // 1964 election in Greece, not included in our study
(1 real change made)

. 
. egen Groupleg = group(Type) if Type==2&filter_el==1&date>-5202&Round==1
(917 missing values generated)

. 
. * Ranking within country
. sort Country Groupleg date               

. quietly by Country Groupleg :  gen Rankleg = cond(_N==1,0,_n) if Groupleg == 1

. sum Rankleg // max == 28 (Denmark)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
     Rankleg |        321     9.17134    6.189602          1         28

. 
. **** Variables with national elections dates 
. 
. *To avoid problems with negative dates (before 1960), we will add a constant equal to the miminal date in the dataset
. gen posit_date = date 
(1 missing value generated)

. su date 

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
        date |      1,237    11813.61    7575.569      -8583      21877

. replace posit_date = date+abs(r(min)) // all dates are positive
(1,237 real changes made)

. 
. sort Country posit_date                  

. forvalues i=1(1)28  { 
  2. by Country : generate Dateleg`i' = posit_date if `i' == Rankleg
  3. bysort Country (Dateleg`i') : gen Dateleg_`i' = Dateleg`i'[1]
  4. drop Dateleg`i'
  5. }
(1,216 missing values generated)
(1,216 missing values generated)
(1,216 missing values generated)
(1,216 missing values generated)
(1,216 missing values generated)
(1,216 missing values generated)
(1,216 missing values generated)
(1,217 missing values generated)
(46 missing values generated)
(1,221 missing values generated)
(204 missing values generated)
(1,225 missing values generated)
(374 missing values generated)
(1,226 missing values generated)
(417 missing values generated)
(1,226 missing values generated)
(417 missing values generated)
(1,227 missing values generated)
(454 missing values generated)
(1,227 missing values generated)
(454 missing values generated)
(1,227 missing values generated)
(454 missing values generated)
(1,228 missing values generated)
(536 missing values generated)
(1,229 missing values generated)
(600 missing values generated)
(1,229 missing values generated)
(600 missing values generated)
(1,230 missing values generated)
(654 missing values generated)
(1,231 missing values generated)
(697 missing values generated)
(1,234 missing values generated)
(980 missing values generated)
(1,234 missing values generated)
(980 missing values generated)
(1,236 missing values generated)
(1,097 missing values generated)
(1,236 missing values generated)
(1,097 missing values generated)
(1,237 missing values generated)
(1,166 missing values generated)
(1,237 missing values generated)
(1,166 missing values generated)
(1,237 missing values generated)
(1,166 missing values generated)
(1,237 missing values generated)
(1,166 missing values generated)

. 
. 
. **** Time to legislative election
. forvalues i=1(1)28  { 
  2. generate Timetoleg_`i' = Dateleg_`i' - posit_date if posit_date < Dateleg_`i'
  3. }
(1,147 missing values generated)
(1,091 missing values generated)
(1,021 missing values generated)
(943 missing values generated)
(856 missing values generated)
(772 missing values generated)
(675 missing values generated)
(628 missing values generated)
(712 missing values generated)
(811 missing values generated)
(808 missing values generated)
(770 missing values generated)
(765 missing values generated)
(734 missing values generated)
(693 missing values generated)
(735 missing values generated)
(761 missing values generated)
(733 missing values generated)
(752 missing values generated)
(761 missing values generated)
(1,023 missing values generated)
(1,011 missing values generated)
(1,115 missing values generated)
(1,112 missing values generated)
(1,177 missing values generated)
(1,174 missing values generated)
(1,171 missing values generated)
(1,167 missing values generated)

. 
. 
. *** Coding Snap elections (considered when election took place at least 0.5 years ahead of schedule and not first dem. election
> s) *** 
. sort Country Rankleg Round

. gen time_since_last_leg = posit_date-posit_date[_n-1] if Country==Country[_n-1] & Round==Round[_n-1] & Type==2 & Type[_n-1]==2
(928 missing values generated)

. gen snap = .
(1,238 missing values generated)

. replace snap = 0 if Rankleg !=.
(321 real changes made)

. replace snap = 1 if Type==2 & Country == 1 & Rankleg>1 & Rankleg!=. & time_since_last_leg < (365.25*3.5) // Denmark, regular te
> rm 4 years throughout 
(17 real changes made)

. replace snap = 1 if Type==2 & Country == 2 & Rankleg>2 & Rankleg!=. & time_since_last_leg < (365.25*3.5) // Spain, regular term
>  4 years throughout (the second election does not count as a SNAP, it was expected for when the new constitution is ready)
(5 real changes made)

. replace snap = 1 if Type==2 & Country == 3 & Rankleg>1 & Rankleg!=. &  time_since_last_leg < (365.25*2.5) & Year <1956 // Finla
> nd, regular term 3 years until 1955
(0 real changes made)

. replace snap = 1 if Type==2 & Country == 3 & Rankleg>1 & Rankleg!=. & time_since_last_leg < (365.25*3.5) & Year > 1955 // Finla
> nd, regular term 4 years from 1955/56
(2 real changes made)

. replace snap = 1 if Type==2 & Country == 4 & Rankleg>1 & Rankleg!=. & time_since_last_leg < (365.25*4.5) // France, regular ter
> m 5 years throughout (since 1946) 
(9 real changes made)

. replace snap = 0 if Type == 2 & Country == 4 & Year == 1946 & Round == 1 & Date == "10/11/46" // This was not a snap election (
> expected after the adoption of the constitution)
(1 real change made)

. replace snap = 0 if Type==2 & Country == 4 & Year == 1967 & Round ==1 // Exception, shorter regular term see here: https://www.
> assemblee-nationale.fr/dyn/decouvrir-l-assemblee/les-elections-legislatives-depuis-1958 
(1 real change made)

. replace snap = 1 if Type==2 & Country == 5 & Rankleg>1 & Rankleg!=. & time_since_last_leg < (365.25*3.5) // Greece, regular ter
> m 4 years throughout 
(9 real changes made)

. replace snap = 1 if Type==2 & Country == 6 & Rankleg>1 & Rankleg!=. & time_since_last_leg < (365.25*4.5) // Ireland, regular te
> rm 5 years throughout 
(14 real changes made)

. replace snap = 1 if Type==2 & Country == 7 & Rankleg>1 & Rankleg!=. & time_since_last_leg < (365.25*3.5) // Iceland, regular te
> rm 4 years throughout
(11 real changes made)

. replace snap = 1 if Type==2 & Country == 8 & Rankleg>1 & Rankleg!=. & time_since_last_leg < (365.25*4.5) // Malta, regular term
>  5 years throughout
(2 real changes made)

. replace snap = 1 if Type==2 & Country == 9 & Rankleg>1 & Rankleg!=. & time_since_last_leg < (365.25*3.5) // Netherlands, regula
> r term 4 years throughout
(7 real changes made)

. replace snap = 1 if Type==2 & Country == 10 & Rankleg>1 & Rankleg!=. & time_since_last_leg < (365.25*3.5) // Norway, regular te
> rm 4 years throughout
(0 real changes made)

. replace snap = 1 if Type==2 & Country == 11 & Rankleg>2 & Rankleg!=. & time_since_last_leg < (365.25*3.5) // Portugal, regular 
> term 4 years throughout (the second election does not count as SNAP, was scheduled for when the constitution is ready)
(7 real changes made)

. replace snap = 1 if Type==2 & Country == 12 & Rankleg>1 & Rankleg!=. & time_since_last_leg < (365.25*3.5) & Year < 1971 // Swed
> en, until 1970 4 years 
(3 real changes made)

. replace snap = 1 if Type==2 & Country == 12 & Rankleg>1 & Rankleg!=. & time_since_last_leg < (365.25*2.5) & Year > 1970 & Year<
> 1995 // Sweden, until 1970-1994 3 years 
(0 real changes made)

. replace snap = 1 if Type==2 & Country == 12 & Rankleg>1 & Rankleg!=. & time_since_last_leg < (365.25*3.5) & Year >1995 // Swede
> n, regular term 4 years since 1994
(0 real changes made)

. replace snap = 1 if Type==2 & Country == 21 & Rankleg>1 & Rankleg!=. & time_since_last_leg < (365.25*3.5) // Bulgaria, regular 
> term 4 years throughout
(5 real changes made)

. replace snap = 1 if Type==2 & Country == 22 & Rankleg>1 & Rankleg!=. & time_since_last_leg < (365.25*3.5) // Czech Republic, re
> gular term 4 years throughout
(3 real changes made)

. replace snap = 1 if Type==2 & Country == 23 & Rankleg>2 & Rankleg!=. & time_since_last_leg < (365.25*3.5) & Year > 1995 // Esto
> nia, regular term 4 years since 1996 (the first in 1992 and 1995, were not snaps)
(0 real changes made)

. replace snap = 1 if Type==2 & Country == 24 & Rankleg>1 & Rankleg!=. & time_since_last_leg < (365.25*3.5) // Hungary, regular t
> erm 4 years throughout
(0 real changes made)

. replace snap = 1 if Type==2 & Country == 25 & Rankleg>1 & Rankleg!=. & time_since_last_leg < (365.25*3.5) & Year > 1998 // Latv
> ia, regular term 4 years after 1998 (before 1998, none was snap)
(2 real changes made)

. replace snap = 1 if Type==2 & Country == 26 & Rankleg>1 & Rankleg!=. & time_since_last_leg < (365.25*3.5)  // Lithuania, regula
> r term 4 years throughout
(0 real changes made)

. replace snap = 1 if Type==2 & Country == 27 & Rankleg>1 & Rankleg!=. & time_since_last_leg < (365.25*3.5)  // Poland, regular t
> erm 4 years throughout
(2 real changes made)

. replace snap = 1 if Type==2 & Country == 28 & Rankleg>1 & Rankleg!=. & time_since_last_leg < (365.25*3.5)  // Romania, regular 
> term 4 years throughout
(1 real change made)

. replace snap = 1 if Type==2 & Country == 29 & Rankleg>1 & Rankleg!=. & time_since_last_leg < (365.25*3.5)  // Slovakia, regular
>  term 4 years throughout
(3 real changes made)

. replace snap = 1 if Type==2 & Country == 30 & Rankleg>1 & Rankleg!=. & time_since_last_leg < (365.25*3.5)  // Slovenia, regular
>  term 4 years throughout
(2 real changes made)

. 
. bysort Country: fre snap

---------------------------------------------------------------------------------------------------------------------------------
-> Country = Denmark

snap
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   0     |         11      15.28      39.29      39.29
        1     |         17      23.61      60.71     100.00
        Total |         28      38.89     100.00           
Missing .     |         44      61.11                      
Total         |         72     100.00                      
-----------------------------------------------------------

---------------------------------------------------------------------------------------------------------------------------------
-> Country = Spain

snap
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   0     |         10      12.20      66.67      66.67
        1     |          5       6.10      33.33     100.00
        Total |         15      18.29     100.00           
Missing .     |         67      81.71                      
Total         |         82     100.00                      
-----------------------------------------------------------

---------------------------------------------------------------------------------------------------------------------------------
-> Country = Finland

snap
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   0     |         18      27.27      90.00      90.00
        1     |          2       3.03      10.00     100.00
        Total |         20      30.30     100.00           
Missing .     |         46      69.70                      
Total         |         66     100.00                      
-----------------------------------------------------------

---------------------------------------------------------------------------------------------------------------------------------
-> Country = France

snap
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   0     |         13       8.84      65.00      65.00
        1     |          7       4.76      35.00     100.00
        Total |         20      13.61     100.00           
Missing .     |        127      86.39                      
Total         |        147     100.00                      
-----------------------------------------------------------

---------------------------------------------------------------------------------------------------------------------------------
-> Country = Greece

snap
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   0     |          9      16.67      50.00      50.00
        1     |          9      16.67      50.00     100.00
        Total |         18      33.33     100.00           
Missing .     |         36      66.67                      
Total         |         54     100.00                      
-----------------------------------------------------------

---------------------------------------------------------------------------------------------------------------------------------
-> Country = Ireland

snap
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   0     |          6       8.57      30.00      30.00
        1     |         14      20.00      70.00     100.00
        Total |         20      28.57     100.00           
Missing .     |         50      71.43                      
Total         |         70     100.00                      
-----------------------------------------------------------

---------------------------------------------------------------------------------------------------------------------------------
-> Country = Iceland

snap
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   0     |         13      18.84      54.17      54.17
        1     |         11      15.94      45.83     100.00
        Total |         24      34.78     100.00           
Missing .     |         45      65.22                      
Total         |         69     100.00                      
-----------------------------------------------------------

---------------------------------------------------------------------------------------------------------------------------------
-> Country = Malta

snap
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   0     |         10      27.03      83.33      83.33
        1     |          2       5.41      16.67     100.00
        Total |         12      32.43     100.00           
Missing .     |         25      67.57                      
Total         |         37     100.00                      
-----------------------------------------------------------

---------------------------------------------------------------------------------------------------------------------------------
-> Country = Netherlands

snap
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   0     |         15      20.00      68.18      68.18
        1     |          7       9.33      31.82     100.00
        Total |         22      29.33     100.00           
Missing .     |         53      70.67                      
Total         |         75     100.00                      
-----------------------------------------------------------

---------------------------------------------------------------------------------------------------------------------------------
-> Country = Norway

snap
-------------------------------------------------------
          |      Freq.    Percent      Valid       Cum.
----------+--------------------------------------------
Valid   0 |         19      44.19     100.00     100.00
Missing . |         24      55.81                      
Total     |         43     100.00                      
-------------------------------------------------------

---------------------------------------------------------------------------------------------------------------------------------
-> Country = Portugal

snap
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   0     |          9      14.06      56.25      56.25
        1     |          7      10.94      43.75     100.00
        Total |         16      25.00     100.00           
Missing .     |         48      75.00                      
Total         |         64     100.00                      
-----------------------------------------------------------

---------------------------------------------------------------------------------------------------------------------------------
-> Country = Sweden

snap
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   0     |         19      45.24      86.36      86.36
        1     |          3       7.14      13.64     100.00
        Total |         22      52.38     100.00           
Missing .     |         20      47.62                      
Total         |         42     100.00                      
-----------------------------------------------------------

---------------------------------------------------------------------------------------------------------------------------------
-> Country = Bulgaria

snap
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   0     |          5      11.63      50.00      50.00
        1     |          5      11.63      50.00     100.00
        Total |         10      23.26     100.00           
Missing .     |         33      76.74                      
Total         |         43     100.00                      
-----------------------------------------------------------

---------------------------------------------------------------------------------------------------------------------------------
-> Country = Czech Republic

snap
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   0     |          6      13.33      66.67      66.67
        1     |          3       6.67      33.33     100.00
        Total |          9      20.00     100.00           
Missing .     |         36      80.00                      
Total         |         45     100.00                      
-----------------------------------------------------------

---------------------------------------------------------------------------------------------------------------------------------
-> Country = Estonia

snap
-------------------------------------------------------
          |      Freq.    Percent      Valid       Cum.
----------+--------------------------------------------
Valid   0 |          8      28.57     100.00     100.00
Missing . |         20      71.43                      
Total     |         28     100.00                      
-------------------------------------------------------

---------------------------------------------------------------------------------------------------------------------------------
-> Country = Hungary

snap
-------------------------------------------------------
          |      Freq.    Percent      Valid       Cum.
----------+--------------------------------------------
Valid   0 |          8      22.86     100.00     100.00
Missing . |         27      77.14                      
Total     |         35     100.00                      
-------------------------------------------------------

---------------------------------------------------------------------------------------------------------------------------------
-> Country = Latvia

snap
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   0     |          7      22.58      77.78      77.78
        1     |          2       6.45      22.22     100.00
        Total |          9      29.03     100.00           
Missing .     |         22      70.97                      
Total         |         31     100.00                      
-----------------------------------------------------------

---------------------------------------------------------------------------------------------------------------------------------
-> Country = Lithuania

snap
-------------------------------------------------------
          |      Freq.    Percent      Valid       Cum.
----------+--------------------------------------------
Valid   0 |          7      15.22     100.00     100.00
Missing . |         39      84.78                      
Total     |         46     100.00                      
-------------------------------------------------------

---------------------------------------------------------------------------------------------------------------------------------
-> Country = Poland

snap
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   0     |          7      14.89      77.78      77.78
        1     |          2       4.26      22.22     100.00
        Total |          9      19.15     100.00           
Missing .     |         38      80.85                      
Total         |         47     100.00                      
-----------------------------------------------------------

---------------------------------------------------------------------------------------------------------------------------------
-> Country = Romania

snap
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   0     |          7      17.07      87.50      87.50
        1     |          1       2.44      12.50     100.00
        Total |          8      19.51     100.00           
Missing .     |         33      80.49                      
Total         |         41     100.00                      
-----------------------------------------------------------

---------------------------------------------------------------------------------------------------------------------------------
-> Country = Slovakia

snap
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   0     |          6      12.77      66.67      66.67
        1     |          3       6.38      33.33     100.00
        Total |          9      19.15     100.00           
Missing .     |         38      80.85                      
Total         |         47     100.00                      
-----------------------------------------------------------

---------------------------------------------------------------------------------------------------------------------------------
-> Country = Slovenia

snap
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   0     |          6      11.11      75.00      75.00
        1     |          2       3.70      25.00     100.00
        Total |          8      14.81     100.00           
Missing .     |         46      85.19                      
Total         |         54     100.00                      
-----------------------------------------------------------

. list Country Year snap Rankleg  time_since_last_leg  if Country== 23 & Type==2

      +--------------------------------------------+
      | Country   Year   snap   Rankleg   time_s~g |
      |--------------------------------------------|
 910. | Estonia   1992      0         1          . |
 911. | Estonia   1995      0         2        896 |
 912. | Estonia   1999      0         3       1463 |
 913. | Estonia   2003      0         4       1456 |
 914. | Estonia   2007      0         5       1463 |
      |--------------------------------------------|
 915. | Estonia   2011      0         6       1463 |
 916. | Estonia   2015      0         7       1456 |
 917. | Estonia   2019      0         8       1463 |
 919. | Estonia   1990      .         .          . |
 925. | Estonia   1990      .         .          . |
      |--------------------------------------------|
 930. | Estonia   1989      .         .          . |
 937. | Estonia   1985      .         .          . |
      +--------------------------------------------+

. list Country Year snap Rankleg if Country== 24 & Type==2

      +---------------------------------+
      | Country   Year   snap   Rankleg |
      |---------------------------------|
 938. | Hungary   1990      0         1 |
 939. | Hungary   1994      0         2 |
 940. | Hungary   1998      0         3 |
 941. | Hungary   2002      0         4 |
 942. | Hungary   2006      0         5 |
      |---------------------------------|
 943. | Hungary   2010      0         6 |
 944. | Hungary   2014      0         7 |
 945. | Hungary   2018      0         8 |
 955. | Hungary   1985      .         . |
 966. | Hungary   1994      .         . |
      |---------------------------------|
 967. | Hungary   2002      .         . |
 969. | Hungary   2010      .         . |
 970. | Hungary   2006      .         . |
 971. | Hungary   1998      .         . |
 972. | Hungary   1990      .         . |
      +---------------------------------+

. list Country Year snap Rankleg if Country== 2 & Type==2

      +---------------------------------+
      | Country   Year   snap   Rankleg |
      |---------------------------------|
  73. |   Spain   1977      0         1 |
  74. |   Spain   1979      0         2 |
  75. |   Spain   1982      0         3 |
  76. |   Spain   1986      0         4 |
  77. |   Spain   1989      1         5 |
      |---------------------------------|
  78. |   Spain   1993      0         6 |
  79. |   Spain   1996      1         7 |
  80. |   Spain   2000      0         8 |
  81. |   Spain   2004      0         9 |
  82. |   Spain   2008      0        10 |
      |---------------------------------|
  83. |   Spain   2011      0        11 |
  84. |   Spain   2015      0        12 |
  85. |   Spain   2016      1        13 |
  86. |   Spain   2019      1        14 |
  87. |   Spain   2019      1        15 |
      |---------------------------------|
 129. |   Spain   1967      .         . |
      +---------------------------------+

. list Country Year snap Rankleg if Country== 4 & Type==2

      +---------------------------------+
      | Country   Year   snap   Rankleg |
      |---------------------------------|
 221. |  France   1945      0         1 |
 222. |  France   1946      1         2 |
 223. |  France   1946      0         3 |
 224. |  France   1951      0         4 |
 225. |  France   1956      0         5 |
      |---------------------------------|
 226. |  France   1958      1         6 |
 227. |  France   1962      1         7 |
 228. |  France   1967      0         8 |
 229. |  France   1968      1         9 |
 230. |  France   1973      0        10 |
      |---------------------------------|
 231. |  France   1978      0        11 |
 232. |  France   1981      1        12 |
 233. |  France   1986      0        13 |
 234. |  France   1988      1        14 |
 235. |  France   1993      0        15 |
      |---------------------------------|
 236. |  France   1997      1        16 |
 237. |  France   2002      0        17 |
 238. |  France   2007      0        18 |
 239. |  France   2012      0        19 |
 240. |  France   2017      0        20 |
      |---------------------------------|
 312. |  France   1981      .         . |
 313. |  France   2012      .         . |
 320. |  France   2017      .         . |
 328. |  France   1958      .         . |
 329. |  France   2007      .         . |
      |---------------------------------|
 332. |  France   2002      .         . |
 335. |  France   1978      .         . |
 338. |  France   1997      .         . |
 341. |  France   1973      .         . |
 342. |  France   1968      .         . |
      |---------------------------------|
 346. |  France   1962      .         . |
 358. |  France   1967      .         . |
 365. |  France   1988      .         . |
 366. |  France   1993      .         . |
      +---------------------------------+

. list Country Year snap Rankleg posit_date  time_since_last_leg if Country== 1 & Type==2

      +-------------------------------------------------------+
      | Country   Year   snap   Rankleg   posit_~e   time_s~g |
      |-------------------------------------------------------|
   1. | Denmark   1945      0         1       3407          . |
   2. | Denmark   1947      1         2       4135        728 |
   3. | Denmark   1950      1         3       5178       1043 |
   4. | Denmark   1953      1         4       6137        959 |
   5. | Denmark   1953      1         5       6291        154 |
      |-------------------------------------------------------|
   6. | Denmark   1957      0         6       7621       1330 |
   7. | Denmark   1960      0         7       8902       1281 |
   8. | Denmark   1964      0         8      10309       1407 |
   9. | Denmark   1966      1         9      11100        791 |
  10. | Denmark   1968      1        10      11527        427 |
      |-------------------------------------------------------|
  11. | Denmark   1971      0        11      12864       1337 |
  12. | Denmark   1973      1        12      13669        805 |
  13. | Denmark   1975      1        13      14070        401 |
  14. | Denmark   1977      1        14      14838        768 |
  15. | Denmark   1979      1        15      15818        980 |
      |-------------------------------------------------------|
  16. | Denmark   1981      1        16      16595        777 |
  17. | Denmark   1984      1        17      17358        763 |
  18. | Denmark   1987      0        18      18695       1337 |
  19. | Denmark   1988      1        19      18940        245 |
  20. | Denmark   1990      1        20      19886        946 |
      |-------------------------------------------------------|
  21. | Denmark   1994      0        21      21265       1379 |
  22. | Denmark   1998      1        22      22532       1267 |
  23. | Denmark   2001      0        23      23882       1350 |
  24. | Denmark   2005      1        24      25058       1176 |
  25. | Denmark   2007      1        25      26066       1008 |
      |-------------------------------------------------------|
  26. | Denmark   2011      0        26      27468       1402 |
  27. | Denmark   2015      0        27      28840       1372 |
  28. | Denmark   2019      0        28      30288       1448 |
  34. | Denmark   1939      .         .       1005          . |
  40. | Denmark   1943      .         .       2455          . |
      +-------------------------------------------------------+

. list Country Year snap Rankleg posit_date  time_since_last_leg if Country== 7 & Type==2

      +-------------------------------------------------------+
      | Country   Year   snap   Rankleg   posit_~e   time_s~g |
      |-------------------------------------------------------|
 492. | Iceland   1946      0         1       3650          . |
 493. | Iceland   1949      1         2       4862       1212 |
 494. | Iceland   1953      0         3       6205       1343 |
 495. | Iceland   1956      1         4       7297       1092 |
 496. | Iceland   1959      1         5       8396       1099 |
      |-------------------------------------------------------|
 497. | Iceland   1959      1         6       8516        120 |
 498. | Iceland   1963      0         7       9838       1322 |
 499. | Iceland   1967      0         8      11301       1463 |
 500. | Iceland   1971      0         9      12764       1463 |
 501. | Iceland   1974      1        10      13877       1113 |
      |-------------------------------------------------------|
 502. | Iceland   1978      0        11      15333       1456 |
 503. | Iceland   1979      1        12      15859        526 |
 504. | Iceland   1983      1        13      17096       1237 |
 505. | Iceland   1987      0        14      18559       1463 |
 506. | Iceland   1991      0        15      20015       1456 |
      |-------------------------------------------------------|
 507. | Iceland   1995      0        16      21494       1479 |
 508. | Iceland   1999      0        17      22955       1461 |
 509. | Iceland   2003      0        18      24418       1463 |
 510. | Iceland   2007      0        19      25881       1463 |
 511. | Iceland   2009      1        20      26595        714 |
      |-------------------------------------------------------|
 512. | Iceland   2010      1        21      27176        581 |
 513. | Iceland   2013      1        22      28058        882 |
 514. | Iceland   2016      0        23      29339       1281 |
 515. | Iceland   2017      1        24      29703        364 |
 548. | Iceland   1942      .         .       2300          . |
      |-------------------------------------------------------|
 558. | Iceland   1942      .         .       2164          . |
      +-------------------------------------------------------+

. 
. lab define snap 0 "Regular Election" 1 "Snap Election", modify

. lab var snap snap

. lab var snap "Snap Election"

. 
. *** Checking and rescaling coverage
. fre Coverage_pop 

Coverage_pop -- Population coverage in %
---------------------------------------------------------------
                  |      Freq.    Percent      Valid       Cum.
------------------+--------------------------------------------
Valid   .15       |          1       0.08       0.08       0.08
        .17       |          1       0.08       0.08       0.16
        .26415    |          1       0.08       0.08       0.24
        .30494628 |          1       0.08       0.08       0.32
        .30866899 |          1       0.08       0.08       0.41
        .31       |          1       0.08       0.08       0.49
        .31502807 |          1       0.08       0.08       0.57
        .32086257 |          1       0.08       0.08       0.65
        .3283352  |          1       0.08       0.08       0.73
        .32973118 |          1       0.08       0.08       0.81
        .32993521 |          1       0.08       0.08       0.89
        .33       |          1       0.08       0.08       0.97
        .33133716 |          1       0.08       0.08       1.06
        .33180444 |          1       0.08       0.08       1.14
        .33382037 |          1       0.08       0.08       1.22
        .3385385  |          1       0.08       0.08       1.30
        .33902558 |          1       0.08       0.08       1.38
        .38154172 |          1       0.08       0.08       1.46
        .39666246 |          1       0.08       0.08       1.54
        .44       |          1       0.08       0.08       1.62
        :         |          :          :          :          :
        80.2      |          1       0.08       0.08      45.05
        82.2      |          1       0.08       0.08      45.13
        83.869253 |          1       0.08       0.08      45.21
        83.9      |          1       0.08       0.08      45.29
        85.4      |          1       0.08       0.08      45.37
        86.1      |          1       0.08       0.08      45.45
        86.3      |          1       0.08       0.08      45.54
        86.7      |          1       0.08       0.08      45.62
        88.1      |          1       0.08       0.08      45.70
        89.2      |          1       0.08       0.08      45.78
        89.4      |          1       0.08       0.08      45.86
        89.8      |          1       0.08       0.08      45.94
        90.4      |          1       0.08       0.08      46.02
        91.5      |          1       0.08       0.08      46.10
        92.1      |          1       0.08       0.08      46.19
        93.8      |          6       0.48       0.49      46.67
        94.4      |          1       0.08       0.08      46.75
        98.3      |          1       0.08       0.08      46.83
        99        |          2       0.16       0.16      47.00
        100       |        653      52.75      53.00     100.00
        Total     |       1232      99.52     100.00           
Missing .         |          6       0.48                      
Total             |       1238     100.00                      
---------------------------------------------------------------

. list Country Type Year Coverage_pop Coverage_dis if Coverage_pop ==. 

      +---------------------------------------------------+
      |  Country        Type   Year   Covera~p   Covera~s |
      |---------------------------------------------------|
 544. |  Iceland   Municipal   1990          .          . |
 553. |  Iceland   Municipal   1990          .          . |
 762. | Portugal    Regional   2012          .          . |
 769. | Portugal    Regional   2016          .          . |
 770. | Portugal    Regional   2015          .          . |
      |---------------------------------------------------|
 771. | Portugal    Regional   2019          .          . |
      +---------------------------------------------------+

. replace Coverage_pop = Coverage_pop / 100 if Country < 21 // To get shares of the electorate
(815 real changes made)

. 
. * Dropping other elections for consistency
. drop if Type ==10
(1 observation deleted)

. 
. *Creating filter for legislative elections that include some second-order elections with missing (and thus estimated values) fo
> r population coverage
. forvalues i = 1/28 {
  2. gen missing_cov_`i' = 0
  3. replace missing_cov_`i' = 1 if (missing_info_cov ==1 & Timetoleg_`i'< 1826.25 & Timetoleg_`i' > 0) // 1826.25 corresponds to
>  5 years (5*365.25)
  4. }
(3 real changes made)
(3 real changes made)
(3 real changes made)
(3 real changes made)
(3 real changes made)
(2 real changes made)
(4 real changes made)
(3 real changes made)
(4 real changes made)
(3 real changes made)
(3 real changes made)
(3 real changes made)
(1 real change made)
(0 real changes made)
(5 real changes made)
(6 real changes made)
(1 real change made)
(0 real changes made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)

. 
. forvalues i = 1/28 {
  2. egen missing_`i' = sum(missing_cov_`i'), by(Country)
  3. }

. 
. 
. gen filter_coverage = .
(1,237 missing values generated)

. la var filter_coverage  "Filter for population coverage"

. forvalues i = 1/28 {
  2.         replace filter_coverage = missing_`i' if Rankleg==`i'
  3.         }
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(21 real changes made)
(17 real changes made)
(13 real changes made)
(12 real changes made)
(12 real changes made)
(11 real changes made)
(11 real changes made)
(11 real changes made)
(10 real changes made)
(9 real changes made)
(9 real changes made)
(8 real changes made)
(7 real changes made)
(4 real changes made)
(4 real changes made)
(2 real changes made)
(2 real changes made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)

. fre filter_coverage

filter_coverage -- Filter for population coverage
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   0     |        288      23.28      89.72      89.72
        1     |         18       1.46       5.61      95.33
        2     |         12       0.97       3.74      99.07
        3     |          3       0.24       0.93     100.00
        Total |        321      25.95     100.00           
Missing .     |        916      74.05                      
Total         |       1237     100.00                      
-----------------------------------------------------------

. list Country Year if filter_coverage>0 & filter_coverage!=. // Good, these elections will be excluded in a robustness check. 

      +------------------+
      |   Country   Year |
      |------------------|
 221. |    France   1945 |
 222. |    France   1946 |
 223. |    France   1946 |
 224. |    France   1951 |
 225. |    France   1956 |
      |------------------|
 226. |    France   1958 |
 227. |    France   1962 |
 228. |    France   1967 |
 229. |    France   1968 |
 230. |    France   1973 |
      |------------------|
 231. |    France   1978 |
 232. |    France   1981 |
 235. |    France   1993 |
 236. |    France   1997 |
 237. |    France   2002 |
      |------------------|
 239. |    France   2012 |
 369. |    Greece   1977 |
 370. |    Greece   1981 |
 371. |    Greece   1985 |
 372. |    Greece   1989 |
      |------------------|
 373. |    Greece   1989 |
 374. |    Greece   1990 |
 375. |    Greece   1993 |
 376. |    Greece   1996 |
 377. |    Greece   2000 |
      |------------------|
 378. |    Greece   2004 |
 379. |    Greece   2007 |
 380. |    Greece   2009 |
 506. |   Iceland   1991 |
 507. |   Iceland   1995 |
      |------------------|
 729. |  Portugal   2015 |
 730. |  Portugal   2019 |
1003. | Lithuania   1992 |
      +------------------+

. 
. 
. 
. ****************************************************************
. **************** Measures of Election Frequency ****************
. ****************************************************************
. 
. 
. ********* Time since last leg election ************ 
. gen legislative_1st_round = legislative == 1 & Round ==1 

. 
. sort Country legislative_1st_round posit_date

. gen last_leg_days = .
(1,237 missing values generated)

. replace last_leg_days = posit_date-posit_date[_n-1] if Country == Country[_n-1] & legislative_1st_round==1 & legislative_1st_ro
> und[_n-1]==1
(336 real changes made)

. 
. sort Country date // Sort back           

.  
. 
.  
. ****** Type 0: Number of Elections ******
. 
. forvalues i = 1/28 {
  2. gen num_el_5_cont_`i' = .
  3. replace num_el_5_cont_`i' = Coverage_pop if Timetoleg_`i'< 1826.25 & Timetoleg_`i' >= 1461 // 1826.25 corresponds to 5 years
  4. }
(1,237 missing values generated)
(11 real changes made)
(1,237 missing values generated)
(16 real changes made)
(1,237 missing values generated)
(17 real changes made)
(1,237 missing values generated)
(18 real changes made)
(1,237 missing values generated)
(25 real changes made)
(1,237 missing values generated)
(25 real changes made)
(1,237 missing values generated)
(24 real changes made)
(1,237 missing values generated)
(32 real changes made)
(1,237 missing values generated)
(26 real changes made)
(1,237 missing values generated)
(13 real changes made)
(1,237 missing values generated)
(11 real changes made)
(1,237 missing values generated)
(13 real changes made)
(1,237 missing values generated)
(18 real changes made)
(1,237 missing values generated)
(12 real changes made)
(1,237 missing values generated)
(23 real changes made)
(1,237 missing values generated)
(12 real changes made)
(1,237 missing values generated)
(15 real changes made)
(1,237 missing values generated)
(9 real changes made)
(1,237 missing values generated)
(11 real changes made)
(1,237 missing values generated)
(7 real changes made)
(1,237 missing values generated)
(2 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(2 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)

. forvalues i = 1/28 {
  2. gen num_el_4_cont_`i' = .
  3. replace num_el_4_cont_`i' =  Coverage_pop if Timetoleg_`i'< 1461 & Timetoleg_`i' >= 1095.75 // 1461 corresponds to 4 years
  4. }
(1,237 missing values generated)
(11 real changes made)
(1,237 missing values generated)
(16 real changes made)
(1,237 missing values generated)
(30 real changes made)
(1,237 missing values generated)
(23 real changes made)
(1,237 missing values generated)
(24 real changes made)
(1,237 missing values generated)
(31 real changes made)
(1,237 missing values generated)
(37 real changes made)
(1,237 missing values generated)
(20 real changes made)
(1,237 missing values generated)
(12 real changes made)
(1,237 missing values generated)
(16 real changes made)
(1,237 missing values generated)
(11 real changes made)
(1,237 missing values generated)
(15 real changes made)
(1,237 missing values generated)
(13 real changes made)
(1,237 missing values generated)
(11 real changes made)
(1,237 missing values generated)
(10 real changes made)
(1,237 missing values generated)
(12 real changes made)
(1,237 missing values generated)
(6 real changes made)
(1,237 missing values generated)
(10 real changes made)
(1,237 missing values generated)
(8 real changes made)
(1,237 missing values generated)
(9 real changes made)
(1,237 missing values generated)
(4 real changes made)
(1,237 missing values generated)
(4 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(2 real changes made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(2 real changes made)

. forvalues i = 1/28 {
  2. gen num_el_3_cont_`i' = .
  3. replace num_el_3_cont_`i' =  Coverage_pop if Timetoleg_`i'< 1095.75 & Timetoleg_`i' >=  730.5 // 1095.75 corresponds to 3 ye
> ars
  4. }
(1,237 missing values generated)
(21 real changes made)
(1,237 missing values generated)
(17 real changes made)
(1,237 missing values generated)
(16 real changes made)
(1,237 missing values generated)
(19 real changes made)
(1,237 missing values generated)
(21 real changes made)
(1,237 missing values generated)
(17 real changes made)
(1,237 missing values generated)
(17 real changes made)
(1,237 missing values generated)
(20 real changes made)
(1,237 missing values generated)
(19 real changes made)
(1,237 missing values generated)
(12 real changes made)
(1,237 missing values generated)
(11 real changes made)
(1,237 missing values generated)
(8 real changes made)
(1,237 missing values generated)
(13 real changes made)
(1,237 missing values generated)
(15 real changes made)
(1,237 missing values generated)
(7 real changes made)
(1,237 missing values generated)
(10 real changes made)
(1,237 missing values generated)
(10 real changes made)
(1,237 missing values generated)
(4 real changes made)
(1,237 missing values generated)
(9 real changes made)
(1,237 missing values generated)
(6 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(2 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)

. forvalues i = 1/28 {
  2. gen num_el_2_cont_`i' = .
  3. replace num_el_2_cont_`i' =  Coverage_pop if Timetoleg_`i'< 730.5 & Timetoleg_`i' >= 365.25 // 730.5 corresponds to 2 years
  4. }
(1,237 missing values generated)
(7 real changes made)
(1,237 missing values generated)
(20 real changes made)
(1,237 missing values generated)
(15 real changes made)
(1,237 missing values generated)
(18 real changes made)
(1,237 missing values generated)
(20 real changes made)
(1,237 missing values generated)
(20 real changes made)
(1,237 missing values generated)
(27 real changes made)
(1,237 missing values generated)
(24 real changes made)
(1,237 missing values generated)
(21 real changes made)
(1,237 missing values generated)
(14 real changes made)
(1,237 missing values generated)
(10 real changes made)
(1,237 missing values generated)
(7 real changes made)
(1,237 missing values generated)
(7 real changes made)
(1,237 missing values generated)
(8 real changes made)
(1,237 missing values generated)
(9 real changes made)
(1,237 missing values generated)
(4 real changes made)
(1,237 missing values generated)
(7 real changes made)
(1,237 missing values generated)
(4 real changes made)
(1,237 missing values generated)
(6 real changes made)
(1,237 missing values generated)
(9 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(2 real changes made)
(1,237 missing values generated)
(1 real change made)

. forvalues i = 1/28 {
  2. gen num_el_1_cont_`i' = .
  3. replace num_el_1_cont_`i' =  Coverage_pop if Timetoleg_`i'< 365.25 & Timetoleg_`i' >= 182.625  // 365.25 corresponds to 1 ye
> ar 
  4. }
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(9 real changes made)
(1,237 missing values generated)
(4 real changes made)
(1,237 missing values generated)
(6 real changes made)
(1,237 missing values generated)
(9 real changes made)
(1,237 missing values generated)
(12 real changes made)
(1,237 missing values generated)
(18 real changes made)
(1,237 missing values generated)
(15 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(6 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(6 real changes made)
(1,237 missing values generated)
(8 real changes made)
(1,237 missing values generated)
(2 real changes made)
(1,237 missing values generated)
(4 real changes made)
(1,237 missing values generated)
(4 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(4 real changes made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(2 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(2 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)

. forvalues i = 1/28 {
  2. gen num_el_0_5_cont_`i' = .
  3. replace num_el_0_5_cont_`i' =  Coverage_pop if Timetoleg_`i'< 182.625 & Timetoleg_`i' >= 36 // 182.625 corresponds to 0.5 ye
> ar 
  4. }
(1,237 missing values generated)
(8 real changes made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(8 real changes made)
(1,237 missing values generated)
(10 real changes made)
(1,237 missing values generated)
(6 real changes made)
(1,237 missing values generated)
(7 real changes made)
(1,237 missing values generated)
(6 real changes made)
(1,237 missing values generated)
(8 real changes made)
(1,237 missing values generated)
(4 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(2 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(2 real changes made)
(1,237 missing values generated)
(4 real changes made)
(1,237 missing values generated)
(2 real changes made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(2 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)

. 
. forvalues i = 1/28 {
  2. gen num_el_0_35d_cont_`i' = .
  3. replace num_el_0_35d_cont_`i' =  Coverage_pop if Timetoleg_`i'< 36 & Timetoleg_`i' > 0 // 35 days (5 weeks)
  4. }
(1,237 missing values generated)
(2 real changes made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(2 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(2 real changes made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(1 real change made)

. 
. 
. 
. *Aggregating Contributions
. 
. foreach lname in num_el_5  num_el_4  num_el_3 num_el_2  num_el_1  num_el_0_5 num_el_0_35d {
  2. forvalues i = 1/28 {
  3. egen `lname'_`i' = sum(`lname'_cont_`i'), by(Country)
  4. }
  5. }

. 
. *Generating Indexes
. 
. local beg 0

. foreach lname in 0_35d 0_5 1 2 3 4 5 {
  2. gen index_nofel_`lname' = .
  3. la var index_nofel_`lname'  "Number of Elections: `beg' - `lname' years"
  4. local beg `lname'
  5. forvalues i = 1/28 {
  6.         replace index_nofel_`lname' = num_el_`lname'_`i' if Rankleg==`i'
  7.         }
  8.         }
(1,237 missing values generated)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(21 real changes made)
(17 real changes made)
(13 real changes made)
(12 real changes made)
(12 real changes made)
(11 real changes made)
(11 real changes made)
(11 real changes made)
(10 real changes made)
(9 real changes made)
(9 real changes made)
(8 real changes made)
(7 real changes made)
(4 real changes made)
(4 real changes made)
(2 real changes made)
(2 real changes made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1,237 missing values generated)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(21 real changes made)
(17 real changes made)
(13 real changes made)
(12 real changes made)
(12 real changes made)
(11 real changes made)
(11 real changes made)
(11 real changes made)
(10 real changes made)
(9 real changes made)
(9 real changes made)
(8 real changes made)
(7 real changes made)
(4 real changes made)
(4 real changes made)
(2 real changes made)
(2 real changes made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1,237 missing values generated)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(21 real changes made)
(17 real changes made)
(13 real changes made)
(12 real changes made)
(12 real changes made)
(11 real changes made)
(11 real changes made)
(11 real changes made)
(10 real changes made)
(9 real changes made)
(9 real changes made)
(8 real changes made)
(7 real changes made)
(4 real changes made)
(4 real changes made)
(2 real changes made)
(2 real changes made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1,237 missing values generated)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(21 real changes made)
(17 real changes made)
(13 real changes made)
(12 real changes made)
(12 real changes made)
(11 real changes made)
(11 real changes made)
(11 real changes made)
(10 real changes made)
(9 real changes made)
(9 real changes made)
(8 real changes made)
(7 real changes made)
(4 real changes made)
(4 real changes made)
(2 real changes made)
(2 real changes made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1,237 missing values generated)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(21 real changes made)
(17 real changes made)
(13 real changes made)
(12 real changes made)
(12 real changes made)
(11 real changes made)
(11 real changes made)
(11 real changes made)
(10 real changes made)
(9 real changes made)
(9 real changes made)
(8 real changes made)
(7 real changes made)
(4 real changes made)
(4 real changes made)
(2 real changes made)
(2 real changes made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1,237 missing values generated)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(21 real changes made)
(17 real changes made)
(13 real changes made)
(12 real changes made)
(12 real changes made)
(11 real changes made)
(11 real changes made)
(11 real changes made)
(10 real changes made)
(9 real changes made)
(9 real changes made)
(8 real changes made)
(7 real changes made)
(4 real changes made)
(4 real changes made)
(2 real changes made)
(2 real changes made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1,237 missing values generated)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(21 real changes made)
(17 real changes made)
(13 real changes made)
(12 real changes made)
(12 real changes made)
(11 real changes made)
(11 real changes made)
(11 real changes made)
(10 real changes made)
(9 real changes made)
(9 real changes made)
(8 real changes made)
(7 real changes made)
(4 real changes made)
(4 real changes made)
(2 real changes made)
(2 real changes made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)

.   
. lab var index_nofel_0_5 "Number of Elections: 5 weeks - 0.5 years"

. lab var index_nofel_0_35d "Number of Elections: 5 weeks" 

.   
. cap gen index_nofel_3_4 = index_nofel_3 + index_nofel_4

. cap gen index_nofel_1_2 = index_nofel_1 + index_nofel_2  

. lab var index_nofel_0_5  "Number of Elections: 0.1-0.5 years"

. lab var index_nofel_1_2 "Number of Elections: 0.5-2 years"

. lab var index_nofel_3_4 "Number of Elections: 2-4 years"

. lab var index_nofel_5 "Number of Elections: 4-5 years"  

.   
.  
. ********* Type 1: only share of electorate concerned ************ 
. 
. 
. forvalues i = 1/28 {
  2. gen no_weight_5_cont_`i' = .
  3. replace no_weight_5_cont_`i' = Coverage_pop/exp(Timetoleg_`i'/365.25) if Timetoleg_`i'< 1826.25 & Timetoleg_`i' > 0 // 1826.
> 25 corresponds to 5 years
  4. }
(1,237 missing values generated)
(63 real changes made)
(1,237 missing values generated)
(80 real changes made)
(1,237 missing values generated)
(91 real changes made)
(1,237 missing values generated)
(94 real changes made)
(1,237 missing values generated)
(107 real changes made)
(1,237 missing values generated)
(112 real changes made)
(1,237 missing values generated)
(132 real changes made)
(1,237 missing values generated)
(120 real changes made)
(1,237 missing values generated)
(88 real changes made)
(1,237 missing values generated)
(65 real changes made)
(1,237 missing values generated)
(51 real changes made)
(1,237 missing values generated)
(55 real changes made)
(1,237 missing values generated)
(62 real changes made)
(1,237 missing values generated)
(54 real changes made)
(1,237 missing values generated)
(58 real changes made)
(1,237 missing values generated)
(45 real changes made)
(1,237 missing values generated)
(46 real changes made)
(1,237 missing values generated)
(34 real changes made)
(1,237 missing values generated)
(40 real changes made)
(1,237 missing values generated)
(35 real changes made)
(1,237 missing values generated)
(17 real changes made)
(1,237 missing values generated)
(19 real changes made)
(1,237 missing values generated)
(10 real changes made)
(1,237 missing values generated)
(7 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(4 real changes made)

. 
. 
. list Country Year no_weight_5_cont_20 if Year>2010 & Country==4

      +---------------------------+
      | Country   Year   no_we~20 |
      |---------------------------|
 350. |  France   2011          . |
 351. |  France   2011          . |
 352. |  France   2012          . |
 353. |  France   2012          . |
 354. |  France   2012          . |
      |---------------------------|
 355. |  France   2012   .0064293 |
 356. |  France   2014   .0399665 |
 357. |  France   2014   .0163204 |
 358. |  France   2014   .0474904 |
 359. |  France   2015   .1082692 |
      |---------------------------|
 360. |  France   2015   .1041838 |
 361. |  France   2015   .2200212 |
 362. |  France   2015   .2242785 |
 363. |  France   2017   .8744548 |
 364. |  France   2017   .9086232 |
      |---------------------------|
 365. |  France   2017          . |
 366. |  France   2017          . |
 367. |  France   2019          . |
      +---------------------------+

. 
. 
. *Aggregating Contributions
. 
. foreach lname in   no_weight_5  {
  2. forvalues i = 1/28 {
  3. egen `lname'_`i' = sum(`lname'_cont_`i'), by(Country)
  4. }
  5. }

. 
. 
. list Country Year no_weight_5_cont_20 if Year>2010 & Country==4

      +---------------------------+
      | Country   Year   no_~t_20 |
      |---------------------------|
 350. |  France   2011          . |
 351. |  France   2011          . |
 352. |  France   2012          . |
 353. |  France   2012          . |
 354. |  France   2012          . |
      |---------------------------|
 355. |  France   2012   .0064293 |
 356. |  France   2014   .0399665 |
 357. |  France   2014   .0163204 |
 358. |  France   2014   .0474904 |
 359. |  France   2015   .1082692 |
      |---------------------------|
 360. |  France   2015   .1041838 |
 361. |  France   2015   .2200212 |
 362. |  France   2015   .2242785 |
 363. |  France   2017   .8744548 |
 364. |  France   2017   .9086232 |
      |---------------------------|
 365. |  France   2017          . |
 366. |  France   2017          . |
 367. |  France   2019          . |
      +---------------------------+

. list Country Year no_weight_5_20 if Year>2010 & Country==4 // ok 

      +---------------------------+
      | Country   Year   no_~5_20 |
      |---------------------------|
 350. |  France   2011   2.550037 |
 351. |  France   2011   2.550037 |
 352. |  France   2012   2.550037 |
 353. |  France   2012   2.550037 |
 354. |  France   2012   2.550037 |
      |---------------------------|
 355. |  France   2012   2.550037 |
 356. |  France   2014   2.550037 |
 357. |  France   2014   2.550037 |
 358. |  France   2014   2.550037 |
 359. |  France   2015   2.550037 |
      |---------------------------|
 360. |  France   2015   2.550037 |
 361. |  France   2015   2.550037 |
 362. |  France   2015   2.550037 |
 363. |  France   2017   2.550037 |
 364. |  France   2017   2.550037 |
      |---------------------------|
 365. |  France   2017   2.550037 |
 366. |  France   2017   2.550037 |
 367. |  France   2019   2.550037 |
      +---------------------------+

. 
. 
. *Generating Indexes
. 
. foreach lname in 5 {
  2. gen index_n_w_`lname' = .
  3. la var index_n_w_`lname'  "IEF"
  4. forvalues i = 1/28 {
  5.         replace index_n_w_`lname' = no_weight_`lname'_`i' if Rankleg==`i'
  6.         }
  7.         }
(1,237 missing values generated)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(21 real changes made)
(17 real changes made)
(13 real changes made)
(12 real changes made)
(12 real changes made)
(11 real changes made)
(11 real changes made)
(11 real changes made)
(10 real changes made)
(9 real changes made)
(9 real changes made)
(8 real changes made)
(7 real changes made)
(4 real changes made)
(4 real changes made)
(2 real changes made)
(2 real changes made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)

. 
.         
.         
.  ****** Type 2: Weight of the election ******
. 
. tabstat Turnout if Round==1, by(Type)

Summary for variables: Turnout
Group variable: Type (Type)

        Type |      Mean
-------------+----------
Presidential |  64.72052
  Lowerhouse |  75.69137
  Upperhouse |   52.1825
  Referendum |  54.11283
    European |  42.43365
    Regional |  59.95151
       Local |  58.65269
   Municipal |  64.30975
-------------+----------
       Total |  64.30688
------------------------

. preserve 

. collapse Turnout if Round==1, by(Type)

. tabstat Turnout, by(Type)

Summary for variables: Turnout
Group variable: Type (Type)

        Type |      Mean
-------------+----------
Presidential |  64.72052
  Lowerhouse |  75.69137
  Upperhouse |   52.1825
  Referendum |  54.11283
    European |  42.43365
    Regional |  59.95151
       Local |  58.65269
   Municipal |  64.30975
-------------+----------
       Total |  59.00685
------------------------

. su Turnout if Type ==2

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
     Turnout |          1    75.69137           .   75.69137   75.69137

. gen Turnout_ratio = Turnout/r(mean) 

. tabstat Turnout_ratio, by(Type)

Summary for variables: Turnout_ratio
Group variable: Type (Type)

        Type |      Mean
-------------+----------
Presidential |  .8550581
  Lowerhouse |         1
  Upperhouse |  .6894115
  Referendum |  .7149141
    European |  .5606141
    Regional |  .7920522
       Local |  .7748927
   Municipal |  .8496312
-------------+----------
       Total |  .7795717
------------------------

. restore 

.  
. recode Type (2 = 1) (8 1=0.9) (6 7 = 0.8) (3 4 = 0.7) (5=0.6) (else=.), gen(weight)
(1237 differences between Type and weight)

. 
. 
. forvalues i = 1/28 {
  2. gen weight_5_cont_`i' = .
  3. replace weight_5_cont_`i' = Coverage_pop*weight/exp(Timetoleg_`i'/365.25) if Timetoleg_`i'< 1826.25 & Timetoleg_`i' > 0 // 1
> 826.25 corresponds to 5 years
  4. }
(1,237 missing values generated)
(63 real changes made)
(1,237 missing values generated)
(80 real changes made)
(1,237 missing values generated)
(91 real changes made)
(1,237 missing values generated)
(94 real changes made)
(1,237 missing values generated)
(107 real changes made)
(1,237 missing values generated)
(112 real changes made)
(1,237 missing values generated)
(132 real changes made)
(1,237 missing values generated)
(120 real changes made)
(1,237 missing values generated)
(88 real changes made)
(1,237 missing values generated)
(65 real changes made)
(1,237 missing values generated)
(51 real changes made)
(1,237 missing values generated)
(55 real changes made)
(1,237 missing values generated)
(62 real changes made)
(1,237 missing values generated)
(54 real changes made)
(1,237 missing values generated)
(58 real changes made)
(1,237 missing values generated)
(45 real changes made)
(1,237 missing values generated)
(46 real changes made)
(1,237 missing values generated)
(34 real changes made)
(1,237 missing values generated)
(40 real changes made)
(1,237 missing values generated)
(35 real changes made)
(1,237 missing values generated)
(17 real changes made)
(1,237 missing values generated)
(19 real changes made)
(1,237 missing values generated)
(10 real changes made)
(1,237 missing values generated)
(7 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(4 real changes made)

. 
. *Aggregating Contributions
. 
. foreach lname in  weight_5 {
  2. forvalues i = 1/28 {
  3. egen `lname'_`i' = sum(`lname'_cont_`i'), by(Country)
  4. }
  5. }

. 
. *Generating Indexes
. 
. foreach lname in 5 {
  2. gen index_w_`lname' = .
  3. la var index_w_`lname'  "IEF: Weight"
  4. forvalues i = 1/28 {
  5.         replace index_w_`lname' = weight_`lname'_`i' if Rankleg==`i'
  6.         }
  7.         }
(1,237 missing values generated)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(21 real changes made)
(17 real changes made)
(13 real changes made)
(12 real changes made)
(12 real changes made)
(11 real changes made)
(11 real changes made)
(11 real changes made)
(10 real changes made)
(9 real changes made)
(9 real changes made)
(8 real changes made)
(7 real changes made)
(4 real changes made)
(4 real changes made)
(2 real changes made)
(2 real changes made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)

. 
. 
.  ****** Type 2b: Weight of the election (data driven) ******
. 
. recode Type (1 2 = 1) (else=0.69), gen(weight2) // Alternative weight, based on the regression coefficients from Model 5 in Tab
> le 1 in the manuscript. 
(1106 differences between Type and weight2)

. 
. 
. 
. forvalues i = 1/28 {
  2. gen weight_5b_cont_`i' = .
  3. replace weight_5b_cont_`i' = Coverage_pop*weight2/exp(Timetoleg_`i'/365.25) if Timetoleg_`i'< 1826.25 & Timetoleg_`i' > 0 //
>  1826.25 corresponds to 5 years
  4. }
(1,237 missing values generated)
(63 real changes made)
(1,237 missing values generated)
(80 real changes made)
(1,237 missing values generated)
(91 real changes made)
(1,237 missing values generated)
(94 real changes made)
(1,237 missing values generated)
(107 real changes made)
(1,237 missing values generated)
(112 real changes made)
(1,237 missing values generated)
(132 real changes made)
(1,237 missing values generated)
(120 real changes made)
(1,237 missing values generated)
(88 real changes made)
(1,237 missing values generated)
(65 real changes made)
(1,237 missing values generated)
(51 real changes made)
(1,237 missing values generated)
(55 real changes made)
(1,237 missing values generated)
(62 real changes made)
(1,237 missing values generated)
(54 real changes made)
(1,237 missing values generated)
(58 real changes made)
(1,237 missing values generated)
(45 real changes made)
(1,237 missing values generated)
(46 real changes made)
(1,237 missing values generated)
(34 real changes made)
(1,237 missing values generated)
(40 real changes made)
(1,237 missing values generated)
(35 real changes made)
(1,237 missing values generated)
(17 real changes made)
(1,237 missing values generated)
(19 real changes made)
(1,237 missing values generated)
(10 real changes made)
(1,237 missing values generated)
(7 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(4 real changes made)

. 
. *Aggregating Contributions
. 
. foreach lname in  weight_5b {
  2. forvalues i = 1/28 {
  3. egen `lname'_`i' = sum(`lname'_cont_`i'), by(Country)
  4. }
  5. }

. 
. *Generating Indexes
. 
. foreach lname in 5b {
  2. gen index_w_`lname' = .
  3. la var index_w_`lname'  "IEF: Weight (alt.)"
  4. forvalues i = 1/28 {
  5.         replace index_w_`lname' = weight_`lname'_`i' if Rankleg==`i'
  6.         }
  7.         }
(1,237 missing values generated)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(21 real changes made)
(17 real changes made)
(13 real changes made)
(12 real changes made)
(12 real changes made)
(11 real changes made)
(11 real changes made)
(11 real changes made)
(10 real changes made)
(9 real changes made)
(9 real changes made)
(8 real changes made)
(7 real changes made)
(4 real changes made)
(4 real changes made)
(2 real changes made)
(2 real changes made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)

.         
.         
.         
. ****** Type 4: First Order Elections (only) ******
.         
. 
. forvalues i = 1/28 {
  2. gen no_weight_FOE_5_cont_`i' = .
  3. replace no_weight_FOE_5_cont_`i' = Coverage_pop/exp(Timetoleg_`i'/365.25) if Timetoleg_`i'< 1826.25 & Timetoleg_`i' > 0 & in
> list(Type, 1, 2) // 1826.25 corresponds to 5 years
  4. }
(1,237 missing values generated)
(29 real changes made)
(1,237 missing values generated)
(33 real changes made)
(1,237 missing values generated)
(39 real changes made)
(1,237 missing values generated)
(36 real changes made)
(1,237 missing values generated)
(39 real changes made)
(1,237 missing values generated)
(39 real changes made)
(1,237 missing values generated)
(46 real changes made)
(1,237 missing values generated)
(41 real changes made)
(1,237 missing values generated)
(31 real changes made)
(1,237 missing values generated)
(22 real changes made)
(1,237 missing values generated)
(16 real changes made)
(1,237 missing values generated)
(17 real changes made)
(1,237 missing values generated)
(22 real changes made)
(1,237 missing values generated)
(19 real changes made)
(1,237 missing values generated)
(22 real changes made)
(1,237 missing values generated)
(18 real changes made)
(1,237 missing values generated)
(17 real changes made)
(1,237 missing values generated)
(12 real changes made)
(1,237 missing values generated)
(15 real changes made)
(1,237 missing values generated)
(12 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(6 real changes made)
(1,237 missing values generated)
(4 real changes made)
(1,237 missing values generated)
(4 real changes made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(1 real change made)

. 
. *Aggregating Contributions
. 
. foreach lname in no_weight_FOE_5  {
  2. forvalues i = 1/28 {
  3. egen `lname'_`i' = sum(`lname'_cont_`i'), by(Country)
  4. }
  5. }

. 
. *Generating Indexes
. 
. foreach lname in 5 {
  2. gen  index_n_w_FOE_`lname' = .
  3. la var  index_n_w_FOE_`lname'  "IEF: First-Order Elections"
  4. forvalues i = 1/28 {
  5.         replace index_n_w_FOE_`lname' = no_weight_FOE_`lname'_`i' if Rankleg==`i'
  6.         }
  7.         }
(1,237 missing values generated)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(21 real changes made)
(17 real changes made)
(13 real changes made)
(12 real changes made)
(12 real changes made)
(11 real changes made)
(11 real changes made)
(11 real changes made)
(10 real changes made)
(9 real changes made)
(9 real changes made)
(8 real changes made)
(7 real changes made)
(4 real changes made)
(4 real changes made)
(2 real changes made)
(2 real changes made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)

.         
. 
. ****** Type 4: Second Order Elections (only) ******
.         
. 
. forvalues i = 1/28 {
  2. gen no_weight_SOE_5_cont_`i' = .
  3. replace no_weight_SOE_5_cont_`i' = Coverage_pop/exp(Timetoleg_`i'/365.25) if Timetoleg_`i'< 1826.25 & Timetoleg_`i' > 0 & Ty
> pe!=1 & Type!=2  // 1826.25 corresponds to 5 years
  4. }
(1,237 missing values generated)
(34 real changes made)
(1,237 missing values generated)
(47 real changes made)
(1,237 missing values generated)
(52 real changes made)
(1,237 missing values generated)
(58 real changes made)
(1,237 missing values generated)
(68 real changes made)
(1,237 missing values generated)
(73 real changes made)
(1,237 missing values generated)
(86 real changes made)
(1,237 missing values generated)
(79 real changes made)
(1,237 missing values generated)
(57 real changes made)
(1,237 missing values generated)
(43 real changes made)
(1,237 missing values generated)
(35 real changes made)
(1,237 missing values generated)
(38 real changes made)
(1,237 missing values generated)
(40 real changes made)
(1,237 missing values generated)
(35 real changes made)
(1,237 missing values generated)
(36 real changes made)
(1,237 missing values generated)
(27 real changes made)
(1,237 missing values generated)
(29 real changes made)
(1,237 missing values generated)
(22 real changes made)
(1,237 missing values generated)
(25 real changes made)
(1,237 missing values generated)
(23 real changes made)
(1,237 missing values generated)
(12 real changes made)
(1,237 missing values generated)
(13 real changes made)
(1,237 missing values generated)
(6 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(2 real changes made)
(1,237 missing values generated)
(2 real changes made)
(1,237 missing values generated)
(2 real changes made)
(1,237 missing values generated)
(3 real changes made)

. 
. 
. 
. *Aggregating Contributions
. 
. foreach lname in  no_weight_SOE_5  {
  2. forvalues i = 1/28 {
  3. egen `lname'_`i' = sum(`lname'_cont_`i'), by(Country)
  4. }
  5. }

. 
. *Generating Indexes
. 
. foreach lname in 5 {
  2. gen  index_n_w_SOE_`lname' = .
  3. la var  index_n_w_SOE_`lname'  "IEF: Second-Order Elections"
  4. forvalues i = 1/28 {
  5.         replace index_n_w_SOE_`lname' = no_weight_SOE_`lname'_`i' if Rankleg==`i'
  6.         }
  7.         }       
(1,237 missing values generated)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(21 real changes made)
(17 real changes made)
(13 real changes made)
(12 real changes made)
(12 real changes made)
(11 real changes made)
(11 real changes made)
(11 real changes made)
(10 real changes made)
(9 real changes made)
(9 real changes made)
(8 real changes made)
(7 real changes made)
(4 real changes made)
(4 real changes made)
(2 real changes made)
(2 real changes made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)

.         
. ****** Type 5: By Election Type - 5 Years (only) ****** 
. 
. 
. forvalues y = 1/8 {
  2. forvalues i = 1/28 {
  3. gen no_weight_T0`y'_5_cont_`i' = .
  4. replace no_weight_T0`y'_5_cont_`i' = Coverage_pop/exp(Timetoleg_`i'/365.25) if Timetoleg_`i'< 1826.25 & Timetoleg_`i' > 0 & 
> Type==`y' // 1826.25 corresponds to 5 years (5*365.25)
  5. }
  6. }
(1,237 missing values generated)
(4 real changes made)
(1,237 missing values generated)
(4 real changes made)
(1,237 missing values generated)
(11 real changes made)
(1,237 missing values generated)
(13 real changes made)
(1,237 missing values generated)
(13 real changes made)
(1,237 missing values generated)
(12 real changes made)
(1,237 missing values generated)
(16 real changes made)
(1,237 missing values generated)
(16 real changes made)
(1,237 missing values generated)
(13 real changes made)
(1,237 missing values generated)
(6 real changes made)
(1,237 missing values generated)
(4 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(6 real changes made)
(1,237 missing values generated)
(2 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(2 real changes made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(25 real changes made)
(1,237 missing values generated)
(29 real changes made)
(1,237 missing values generated)
(28 real changes made)
(1,237 missing values generated)
(23 real changes made)
(1,237 missing values generated)
(26 real changes made)
(1,237 missing values generated)
(27 real changes made)
(1,237 missing values generated)
(30 real changes made)
(1,237 missing values generated)
(25 real changes made)
(1,237 missing values generated)
(18 real changes made)
(1,237 missing values generated)
(16 real changes made)
(1,237 missing values generated)
(12 real changes made)
(1,237 missing values generated)
(14 real changes made)
(1,237 missing values generated)
(17 real changes made)
(1,237 missing values generated)
(14 real changes made)
(1,237 missing values generated)
(17 real changes made)
(1,237 missing values generated)
(13 real changes made)
(1,237 missing values generated)
(11 real changes made)
(1,237 missing values generated)
(10 real changes made)
(1,237 missing values generated)
(10 real changes made)
(1,237 missing values generated)
(7 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(2 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(2 real changes made)
(1,237 missing values generated)
(2 real changes made)
(1,237 missing values generated)
(2 real changes made)
(1,237 missing values generated)
(2 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(13 real changes made)
(1,237 missing values generated)
(14 real changes made)
(1,237 missing values generated)
(11 real changes made)
(1,237 missing values generated)
(15 real changes made)
(1,237 missing values generated)
(13 real changes made)
(1,237 missing values generated)
(16 real changes made)
(1,237 missing values generated)
(17 real changes made)
(1,237 missing values generated)
(19 real changes made)
(1,237 missing values generated)
(7 real changes made)
(1,237 missing values generated)
(8 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(6 real changes made)
(1,237 missing values generated)
(6 real changes made)
(1,237 missing values generated)
(4 real changes made)
(1,237 missing values generated)
(7 real changes made)
(1,237 missing values generated)
(4 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(2 real changes made)
(1,237 missing values generated)
(8 real changes made)
(1,237 missing values generated)
(9 real changes made)
(1,237 missing values generated)
(11 real changes made)
(1,237 missing values generated)
(11 real changes made)
(1,237 missing values generated)
(7 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(6 real changes made)
(1,237 missing values generated)
(6 real changes made)
(1,237 missing values generated)
(6 real changes made)
(1,237 missing values generated)
(4 real changes made)
(1,237 missing values generated)
(7 real changes made)
(1,237 missing values generated)
(6 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(6 real changes made)
(1,237 missing values generated)
(9 real changes made)
(1,237 missing values generated)
(11 real changes made)
(1,237 missing values generated)
(13 real changes made)
(1,237 missing values generated)
(11 real changes made)
(1,237 missing values generated)
(13 real changes made)
(1,237 missing values generated)
(9 real changes made)
(1,237 missing values generated)
(6 real changes made)
(1,237 missing values generated)
(11 real changes made)
(1,237 missing values generated)
(10 real changes made)
(1,237 missing values generated)
(9 real changes made)
(1,237 missing values generated)
(9 real changes made)
(1,237 missing values generated)
(2 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(4 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(4 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(2 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(4 real changes made)
(1,237 missing values generated)
(2 real changes made)
(1,237 missing values generated)
(2 real changes made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(3 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(0 real changes made)
(1,237 missing values generated)
(15 real changes made)
(1,237 missing values generated)
(27 real changes made)
(1,237 missing values generated)
(32 real changes made)
(1,237 missing values generated)
(29 real changes made)
(1,237 missing values generated)
(30 real changes made)
(1,237 missing values generated)
(30 real changes made)
(1,237 missing values generated)
(38 real changes made)
(1,237 missing values generated)
(34 real changes made)
(1,237 missing values generated)
(23 real changes made)
(1,237 missing values generated)
(18 real changes made)
(1,237 missing values generated)
(14 real changes made)
(1,237 missing values generated)
(13 real changes made)
(1,237 missing values generated)
(14 real changes made)
(1,237 missing values generated)
(11 real changes made)
(1,237 missing values generated)
(13 real changes made)
(1,237 missing values generated)
(12 real changes made)
(1,237 missing values generated)
(11 real changes made)
(1,237 missing values generated)
(8 real changes made)
(1,237 missing values generated)
(9 real changes made)
(1,237 missing values generated)
(7 real changes made)
(1,237 missing values generated)
(5 real changes made)
(1,237 missing values generated)
(4 real changes made)
(1,237 missing values generated)
(2 real changes made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(1 real change made)
(1,237 missing values generated)
(1 real change made)

. 
. *Aggregating Contributions
. forvalues y = 1/8 {
  2. forvalues i = 1/28 {
  3. egen no_weight_T0`y'_`i' = sum(no_weight_T0`y'_5_cont_`i'), by(Country)
  4. }
  5. }

. 
. *Generating Indexes
.         
. forvalues y = 1/8 {
  2. gen  index_n_w_T0`y'_5 = .
  3. local type:  label Type `y' 
  4. la var  index_n_w_T0`y'_5 "IEF `type'"
  5. forvalues i = 1/28 {
  6.         replace index_n_w_T0`y'_5 = no_weight_T0`y'_`i' if Rankleg==`i'
  7.         }
  8.         }               
(1,237 missing values generated)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(21 real changes made)
(17 real changes made)
(13 real changes made)
(12 real changes made)
(12 real changes made)
(11 real changes made)
(11 real changes made)
(11 real changes made)
(10 real changes made)
(9 real changes made)
(9 real changes made)
(8 real changes made)
(7 real changes made)
(4 real changes made)
(4 real changes made)
(2 real changes made)
(2 real changes made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1,237 missing values generated)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(21 real changes made)
(17 real changes made)
(13 real changes made)
(12 real changes made)
(12 real changes made)
(11 real changes made)
(11 real changes made)
(11 real changes made)
(10 real changes made)
(9 real changes made)
(9 real changes made)
(8 real changes made)
(7 real changes made)
(4 real changes made)
(4 real changes made)
(2 real changes made)
(2 real changes made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1,237 missing values generated)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(21 real changes made)
(17 real changes made)
(13 real changes made)
(12 real changes made)
(12 real changes made)
(11 real changes made)
(11 real changes made)
(11 real changes made)
(10 real changes made)
(9 real changes made)
(9 real changes made)
(8 real changes made)
(7 real changes made)
(4 real changes made)
(4 real changes made)
(2 real changes made)
(2 real changes made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1,237 missing values generated)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(21 real changes made)
(17 real changes made)
(13 real changes made)
(12 real changes made)
(12 real changes made)
(11 real changes made)
(11 real changes made)
(11 real changes made)
(10 real changes made)
(9 real changes made)
(9 real changes made)
(8 real changes made)
(7 real changes made)
(4 real changes made)
(4 real changes made)
(2 real changes made)
(2 real changes made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1,237 missing values generated)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(21 real changes made)
(17 real changes made)
(13 real changes made)
(12 real changes made)
(12 real changes made)
(11 real changes made)
(11 real changes made)
(11 real changes made)
(10 real changes made)
(9 real changes made)
(9 real changes made)
(8 real changes made)
(7 real changes made)
(4 real changes made)
(4 real changes made)
(2 real changes made)
(2 real changes made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1,237 missing values generated)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(21 real changes made)
(17 real changes made)
(13 real changes made)
(12 real changes made)
(12 real changes made)
(11 real changes made)
(11 real changes made)
(11 real changes made)
(10 real changes made)
(9 real changes made)
(9 real changes made)
(8 real changes made)
(7 real changes made)
(4 real changes made)
(4 real changes made)
(2 real changes made)
(2 real changes made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1,237 missing values generated)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(21 real changes made)
(17 real changes made)
(13 real changes made)
(12 real changes made)
(12 real changes made)
(11 real changes made)
(11 real changes made)
(11 real changes made)
(10 real changes made)
(9 real changes made)
(9 real changes made)
(8 real changes made)
(7 real changes made)
(4 real changes made)
(4 real changes made)
(2 real changes made)
(2 real changes made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1,237 missing values generated)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(21 real changes made)
(17 real changes made)
(13 real changes made)
(12 real changes made)
(12 real changes made)
(11 real changes made)
(11 real changes made)
(11 real changes made)
(10 real changes made)
(9 real changes made)
(9 real changes made)
(8 real changes made)
(7 real changes made)
(4 real changes made)
(4 real changes made)
(2 real changes made)
(2 real changes made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)

.         
.         
. *Regrouping Elections groups
. gen index_n_w_national_5 = index_n_w_T01_5+index_n_w_T02_5+index_n_w_T03_5
(916 missing values generated)

. lab var index_n_w_national_5 "IEF: National Elections"

. gen index_n_w_referendum_5 = index_n_w_T04_5 
(916 missing values generated)

. lab var index_n_w_referendum_5 "IEF: Referendums" 

. gen index_n_w_supranational_5 = index_n_w_T05_5  
(916 missing values generated)

. lab var index_n_w_supranational_5 "IEF: Supranational Elections" 

. gen index_n_w_subnational_5 = index_n_w_T06_5+index_n_w_T07_5+index_n_w_T08_5
(916 missing values generated)

. lab var index_n_w_subnational_5 "IEF: Subnational Elections" 

.         
. drop no_weight* weight* num_el* 

. 
. save electionsdata_4.dta, replace
file electionsdata_4.dta saved

.  
.  
. ****************************************************************************************
. *********************************** For Micro Analysis **********************************
. *****************************************************************************************
. 
. cd `"${beg_path}Data\Analysis 1\"'
C:\Users\fkostelk\Dropbox\Replication_EF\Data\Analysis 1

. 
. use electionsdata_4.dta, clear

. 
. gen Majority = abs(50-First)
(411 missing values generated)

. lab var  Majority  "Majority Status"

. gen Closeness = First-Second
(412 missing values generated)

. lab var Closeness "Closeness"

. gen CV = 0

. replace CV = 1 if (Country == 9 & Year<= 1967 & Type==2) | (Country == 5 & Year<=2000 & Type==2)
(19 real changes made)

. 
. 
. keep if Type ==2 & Round ==1
(878 observations deleted)

. keep Year index_n_w_5 snap Country Date date Turnout Majority Closeness  Elsystem CV  Joint1 

. 
. 
. *Creating country codes for the merge: 
. 
. gen Country_CSES = . 
(359 missing values generated)

. replace Country_CSES = 13 if  Country ==        1       //      DK
(30 real changes made)

. replace Country_CSES = 47 if  Country ==        2        //     ES
(16 real changes made)

. replace Country_CSES = 15 if  Country ==        3       //      FI
(23 real changes made)

. replace Country_CSES = 16 if  Country ==        4       //      FR
(20 real changes made)

. replace Country_CSES = 19 if  Country ==        5       //      GR
(19 real changes made)

. replace Country_CSES = 23 if  Country ==        6       //      IE
(22 real changes made)

. replace Country_CSES = 22 if  Country ==        7       //      IS
(26 real changes made)

. replace Country_CSES = . if   Country ==        8       //      MT
(0 real changes made)

. replace Country_CSES = 33 if  Country ==        9       //      NL
(23 real changes made)

. replace Country_CSES = 35 if  Country ==        10      //      NO
(20 real changes made)

. replace Country_CSES = 39 if  Country ==        11      //      PT
(19 real changes made)

. replace Country_CSES = 48 if  Country ==        12      //      SE
(24 real changes made)

. replace Country_CSES = 8 if  Country ==         21      //      Bulgaria
(11 real changes made)

. replace Country_CSES = 12 if  Country ==        22      //      Czech Republic
(10 real changes made)

. replace Country_CSES = 14 if  Country ==        23      //      Estonia
(12 real changes made)

. replace Country_CSES = 21 if  Country ==        24      //      Hungary
(9 real changes made)

. replace Country_CSES = 29 if  Country ==        25      //      Latvia
(11 real changes made)

. replace Country_CSES = 30 if  Country ==        26      //      Lithuania
(9 real changes made)

. replace Country_CSES = 38 if  Country ==        27      //      Poland
(11 real changes made)

. replace Country_CSES = 41 if  Country ==        28      //      Romania
(9 real changes made)

. replace Country_CSES = 44 if  Country ==        29      //      Slovakia
(10 real changes made)

. replace Country_CSES = 45 if  Country ==        30      //      Slovenia
(10 real changes made)

. drop if Country_CSES == . 
(15 observations deleted)

. 
. 
. replace date = date -1 if Country_CSES == 12 | (Country_CSES == 35 & Year  == 2009) | (Country_CSES == 35 & Year  == 2013)
(12 real changes made)

. 
. 
. save `"${beg_path}Data\Analysis 3\cses_fre_to_merge.dta"', replace 
file C:\Users\fkostelk\Dropbox\Replication_EF\Data\Analysis 3\cses_fre_to_merge.dta saved

. 
end of do-file

. do "C:\Users\fkostelk\Dropbox\Replication_EF\Code\1_5.do" 

. *********************************************************************************
. *                                                                               *
. *                Election Frequency - Preparing the Dataset                         *
. *                                                                               *
. *                                         Analysis                                      *
. *                                                                               *
. *********************************************************************************
.  
. global beg_path `"C:\Users\fkostelk\Dropbox\Replication_EF\"'  // F - Home

.  
. cd `"${beg_path}Data\Analysis 1\"'
C:\Users\fkostelk\Dropbox\Replication_EF\Data\Analysis 1

. use electionsdata_4.dta, clear

. 
. *Elections analyzed
. list Country Year if Rankleg!=.

      +-----------------------+
      |        Country   Year |
      |-----------------------|
   4. |        Denmark   1945 |
   7. |        Denmark   1947 |
   9. |        Denmark   1950 |
  11. |        Denmark   1953 |
  13. |        Denmark   1953 |
      |-----------------------|
  15. |        Denmark   1957 |
  17. |        Denmark   1960 |
  21. |        Denmark   1964 |
  23. |        Denmark   1966 |
  24. |        Denmark   1968 |
      |-----------------------|
  27. |        Denmark   1971 |
  29. |        Denmark   1973 |
  31. |        Denmark   1975 |
  32. |        Denmark   1977 |
  36. |        Denmark   1979 |
      |-----------------------|
  38. |        Denmark   1981 |
  39. |        Denmark   1984 |
  43. |        Denmark   1987 |
  44. |        Denmark   1988 |
  47. |        Denmark   1990 |
      |-----------------------|
  52. |        Denmark   1994 |
  54. |        Denmark   1998 |
  58. |        Denmark   2001 |
  60. |        Denmark   2005 |
  62. |        Denmark   2007 |
      |-----------------------|
  65. |        Denmark   2011 |
  68. |        Denmark   2015 |
  72. |        Denmark   2019 |
  78. |          Spain   1977 |
  80. |          Spain   1979 |
      |-----------------------|
  87. |          Spain   1982 |
  93. |          Spain   1986 |
  99. |          Spain   1989 |
 105. |          Spain   1993 |
 112. |          Spain   1996 |
      |-----------------------|
 118. |          Spain   2000 |
 125. |          Spain   2004 |
 133. |          Spain   2008 |
 138. |          Spain   2011 |
 146. |          Spain   2015 |
      |-----------------------|
 147. |          Spain   2016 |
 151. |          Spain   2019 |
 153. |          Spain   2019 |
 161. |        Finland   1948 |
 164. |        Finland   1951 |
      |-----------------------|
 166. |        Finland   1954 |
 169. |        Finland   1958 |
 172. |        Finland   1962 |
 174. |        Finland   1966 |
 177. |        Finland   1970 |
      |-----------------------|
 178. |        Finland   1972 |
 180. |        Finland   1975 |
 183. |        Finland   1979 |
 186. |        Finland   1983 |
 188. |        Finland   1987 |
      |-----------------------|
 191. |        Finland   1991 |
 196. |        Finland   1995 |
 198. |        Finland   1999 |
 203. |        Finland   2003 |
 208. |        Finland   2007 |
      |-----------------------|
 211. |        Finland   2011 |
 216. |        Finland   2015 |
 219. |        Finland   2019 |
 225. |         France   1945 |
 227. |         France   1946 |
      |-----------------------|
 229. |         France   1946 |
 234. |         France   1951 |
 241. |         France   1956 |
 245. |         France   1958 |
 254. |         France   1962 |
      |-----------------------|
 262. |         France   1967 |
 266. |         France   1968 |
 276. |         France   1973 |
 286. |         France   1978 |
 293. |         France   1981 |
      |-----------------------|
 302. |         France   1986 |
 305. |         France   1988 |
 316. |         France   1993 |
 325. |         France   1997 |
 335. |         France   2002 |
      |-----------------------|
 343. |         France   2007 |
 354. |         France   2012 |
 365. |         France   2017 |
 372. |         Greece   1974 |
 376. |         Greece   1977 |
      |-----------------------|
 379. |         Greece   1981 |
 383. |         Greece   1985 |
 387. |         Greece   1989 |
 388. |         Greece   1989 |
 389. |         Greece   1990 |
      |-----------------------|
 392. |         Greece   1993 |
 396. |         Greece   1996 |
 400. |         Greece   2000 |
 403. |         Greece   2004 |
 407. |         Greece   2007 |
      |-----------------------|
 409. |         Greece   2009 |
 412. |         Greece   2012 |
 413. |         Greece   2012 |
 416. |         Greece   2015 |
 418. |         Greece   2015 |
      |-----------------------|
 421. |         Greece   2019 |
 427. |        Ireland   1948 |
 429. |        Ireland   1951 |
 430. |        Ireland   1954 |
 432. |        Ireland   1957 |
      |-----------------------|
 435. |        Ireland   1961 |
 436. |        Ireland   1965 |
 440. |        Ireland   1969 |
 443. |        Ireland   1973 |
 446. |        Ireland   1977 |
      |-----------------------|
 449. |        Ireland   1981 |
 450. |        Ireland   1982 |
 451. |        Ireland   1982 |
 457. |        Ireland   1987 |
 459. |        Ireland   1989 |
      |-----------------------|
 463. |        Ireland   1992 |
 467. |        Ireland   1997 |
 474. |        Ireland   2002 |
 477. |        Ireland   2007 |
 481. |        Ireland   2011 |
      |-----------------------|
 488. |        Ireland   2016 |
 498. |        Iceland   1946 |
 500. |        Iceland   1949 |
 504. |        Iceland   1953 |
 507. |        Iceland   1956 |
      |-----------------------|
 510. |        Iceland   1959 |
 511. |        Iceland   1959 |
 514. |        Iceland   1963 |
 517. |        Iceland   1967 |
 521. |        Iceland   1971 |
      |-----------------------|
 523. |        Iceland   1974 |
 525. |        Iceland   1978 |
 526. |        Iceland   1979 |
 530. |        Iceland   1983 |
 533. |        Iceland   1987 |
      |-----------------------|
 537. |        Iceland   1991 |
 539. |        Iceland   1995 |
 542. |        Iceland   1999 |
 544. |        Iceland   2003 |
 547. |        Iceland   2007 |
      |-----------------------|
 548. |        Iceland   2009 |
 551. |        Iceland   2010 |
 555. |        Iceland   2013 |
 558. |        Iceland   2016 |
 559. |        Iceland   2017 |
      |-----------------------|
 566. |          Malta   1966 |
 567. |          Malta   1971 |
 568. |          Malta   1976 |
 569. |          Malta   1981 |
 570. |          Malta   1987 |
      |-----------------------|
 571. |          Malta   1992 |
 575. |          Malta   1996 |
 578. |          Malta   1998 |
 584. |          Malta   2003 |
 589. |          Malta   2008 |
      |-----------------------|
 593. |          Malta   2013 |
 596. |          Malta   2017 |
 601. |    Netherlands   1946 |
 604. |    Netherlands   1948 |
 607. |    Netherlands   1952 |
      |-----------------------|
 610. |    Netherlands   1956 |
 613. |    Netherlands   1959 |
 616. |    Netherlands   1963 |
 619. |    Netherlands   1967 |
 622. |    Netherlands   1971 |
      |-----------------------|
 623. |    Netherlands   1972 |
 626. |    Netherlands   1977 |
 630. |    Netherlands   1981 |
 633. |    Netherlands   1982 |
 636. |    Netherlands   1986 |
      |-----------------------|
 639. |    Netherlands   1989 |
 643. |    Netherlands   1994 |
 647. |    Netherlands   1998 |
 651. |    Netherlands   2002 |
 652. |    Netherlands   2003 |
      |-----------------------|
 657. |    Netherlands   2006 |
 661. |    Netherlands   2010 |
 663. |    Netherlands   2012 |
 668. |    Netherlands   2017 |
 674. |         Norway   1945 |
      |-----------------------|
 677. |         Norway   1949 |
 679. |         Norway   1953 |
 681. |         Norway   1957 |
 683. |         Norway   1961 |
 685. |         Norway   1965 |
      |-----------------------|
 687. |         Norway   1969 |
 690. |         Norway   1973 |
 692. |         Norway   1977 |
 694. |         Norway   1981 |
 696. |         Norway   1985 |
      |-----------------------|
 698. |         Norway   1989 |
 700. |         Norway   1993 |
 703. |         Norway   1997 |
 705. |         Norway   2001 |
 707. |         Norway   2005 |
      |-----------------------|
 709. |         Norway   2009 |
 711. |         Norway   2013 |
 713. |         Norway   2017 |
 718. |       Portugal   1975 |
 719. |       Portugal   1976 |
      |-----------------------|
 722. |       Portugal   1979 |
 724. |       Portugal   1980 |
 727. |       Portugal   1983 |
 729. |       Portugal   1985 |
 733. |       Portugal   1987 |
      |-----------------------|
 738. |       Portugal   1991 |
 742. |       Portugal   1995 |
 749. |       Portugal   1999 |
 753. |       Portugal   2002 |
 756. |       Portugal   2005 |
      |-----------------------|
 763. |       Portugal   2009 |
 766. |       Portugal   2011 |
 772. |       Portugal   2015 |
 778. |       Portugal   2019 |
 783. |         Sweden   1948 |
      |-----------------------|
 785. |         Sweden   1952 |
 788. |         Sweden   1956 |
 790. |         Sweden   1958 |
 792. |         Sweden   1960 |
 794. |         Sweden   1964 |
      |-----------------------|
 796. |         Sweden   1968 |
 797. |         Sweden   1970 |
 798. |         Sweden   1973 |
 799. |         Sweden   1976 |
 800. |         Sweden   1979 |
      |-----------------------|
 802. |         Sweden   1982 |
 803. |         Sweden   1985 |
 804. |         Sweden   1988 |
 805. |         Sweden   1991 |
 806. |         Sweden   1994 |
      |-----------------------|
 809. |         Sweden   1998 |
 811. |         Sweden   2002 |
 814. |         Sweden   2006 |
 816. |         Sweden   2010 |
 818. |         Sweden   2014 |
      |-----------------------|
 819. |         Sweden   2018 |
 823. |       Bulgaria   1990 |
 825. |       Bulgaria   1991 |
 829. |       Bulgaria   1994 |
 834. |       Bulgaria   1997 |
      |-----------------------|
 837. |       Bulgaria   2001 |
 842. |       Bulgaria   2005 |
 849. |       Bulgaria   2009 |
 853. |       Bulgaria   2013 |
 855. |       Bulgaria   2014 |
      |-----------------------|
 860. |       Bulgaria   2017 |
 865. | Czech Republic   1990 |
 867. | Czech Republic   1992 |
 869. | Czech Republic   1996 |
 872. | Czech Republic   1998 |
      |-----------------------|
 877. | Czech Republic   2002 |
 884. | Czech Republic   2006 |
 890. | Czech Republic   2010 |
 897. | Czech Republic   2013 |
 903. | Czech Republic   2017 |
      |-----------------------|
 916. |        Estonia   1992 |
 918. |        Estonia   1995 |
 920. |        Estonia   1999 |
 923. |        Estonia   2003 |
 927. |        Estonia   2007 |
      |-----------------------|
 930. |        Estonia   2011 |
 933. |        Estonia   2015 |
 935. |        Estonia   2019 |
 939. |        Hungary   1990 |
 944. |        Hungary   1994 |
      |-----------------------|
 948. |        Hungary   1998 |
 951. |        Hungary   2002 |
 957. |        Hungary   2006 |
 962. |        Hungary   2010 |
 965. |        Hungary   2014 |
      |-----------------------|
 969. |        Hungary   2018 |
 977. |         Latvia   1993 |
 979. |         Latvia   1995 |
 981. |         Latvia   1998 |
 984. |         Latvia   2002 |
      |-----------------------|
 988. |         Latvia   2006 |
 993. |         Latvia   2010 |
 995. |         Latvia   2011 |
 999. |         Latvia   2014 |
1001. |         Latvia   2018 |
      |-----------------------|
1011. |      Lithuania   1992 |
1016. |      Lithuania   1996 |
1022. |      Lithuania   2000 |
1028. |      Lithuania   2004 |
1031. |      Lithuania   2008 |
      |-----------------------|
1036. |      Lithuania   2012 |
1043. |      Lithuania   2016 |
1058. |         Poland   1991 |
1059. |         Poland   1993 |
1065. |         Poland   1997 |
      |-----------------------|
1068. |         Poland   2001 |
1073. |         Poland   2005 |
1078. |         Poland   2007 |
1084. |         Poland   2011 |
1091. |         Poland   2015 |
      |-----------------------|
1093. |         Poland   2019 |
1098. |        Romania   1990 |
1102. |        Romania   1992 |
1106. |        Romania   1996 |
1110. |        Romania   2000 |
      |-----------------------|
1115. |        Romania   2004 |
1121. |        Romania   2008 |
1127. |        Romania   2012 |
1132. |        Romania   2016 |
1138. |       Slovakia   1990 |
      |-----------------------|
1140. |       Slovakia   1992 |
1141. |       Slovakia   1994 |
1145. |       Slovakia   1998 |
1152. |       Slovakia   2002 |
1160. |       Slovakia   2006 |
      |-----------------------|
1167. |       Slovakia   2010 |
1170. |       Slovakia   2012 |
1178. |       Slovakia   2016 |
1188. |       Slovenia   1992 |
1191. |       Slovenia   1996 |
      |-----------------------|
1197. |       Slovenia   2000 |
1206. |       Slovenia   2004 |
1212. |       Slovenia   2008 |
1220. |       Slovenia   2011 |
1226. |       Slovenia   2014 |
      |-----------------------|
1234. |       Slovenia   2018 |
      +-----------------------+

. 
. gen Majority = abs(50-First)
(411 missing values generated)

. lab var  Majority  "Majority Status"

. gen Closeness = First-Second
(412 missing values generated)

. lab var Closeness "Closeness"

. 
. gen Decade_1930 = Year > 1929 & Year < 1940 

. gen Decade_1940 = Year > 1939 & Year < 1950 

. gen Decade_1950 = Year > 1949 & Year < 1960 

. gen Decade_1960 = Year > 1959 & Year < 1970 

. gen Decade_1970 = Year > 1969 & Year < 1980 

. gen Decade_1980 = Year > 1979 & Year < 1990 

. gen Decade_1990 = Year > 1989 & Year < 2000 

. gen Decade_2000 = Year > 1999 & Year < 2010 

. gen Decade_2010 = Year > 2009 & Year < 2020 

. 
. lab var Decade_1930 "1930s"

. lab var Decade_1940 "1940s"

. lab var Decade_1950 "1950s"

. lab var Decade_1960 "1960s"

. lab var Decade_1970 "1970s"

. lab var Decade_1980 "1980s"

. lab var Decade_1990 "1990s"

. lab var Decade_2000 "2000s"

. lab var Decade_2010 "2010s"

. 
. gen CV = 0

. replace CV = 1 if (Country == 9 & Year<= 1967 & Type==2) | (Country == 5 & Year<=2000 & Type==2)
(19 real changes made)

. 
. lab var index_nofel_0_5  "Number of Elections: 0.5 years"

. lab var index_nofel_1  "Number of Elections: 0.5 - 1 years"

. 
. 
. *Leg. election rank after democratization (dummies)
. tab Rankleg, gen(Rankleg) 

    Rankleg |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |         22        6.85        6.85
          2 |         22        6.85       13.71
          3 |         22        6.85       20.56
          4 |         22        6.85       27.41
          5 |         22        6.85       34.27
          6 |         22        6.85       41.12
          7 |         22        6.85       47.98
          8 |         21        6.54       54.52
          9 |         17        5.30       59.81
         10 |         13        4.05       63.86
         11 |         12        3.74       67.60
         12 |         12        3.74       71.34
         13 |         11        3.43       74.77
         14 |         11        3.43       78.19
         15 |         11        3.43       81.62
         16 |         10        3.12       84.74
         17 |          9        2.80       87.54
         18 |          9        2.80       90.34
         19 |          8        2.49       92.83
         20 |          7        2.18       95.02
         21 |          4        1.25       96.26
         22 |          4        1.25       97.51
         23 |          2        0.62       98.13
         24 |          2        0.62       98.75
         25 |          1        0.31       99.07
         26 |          1        0.31       99.38
         27 |          1        0.31       99.69
         28 |          1        0.31      100.00
------------+-----------------------------------
      Total |        321      100.00

. 
. *Regional dummies 
. gen region = .
(1,237 missing values generated)

. replace region =1 if inlist(Country, 1, 3, 4, 6, 7, 8, 9, 10, 12)
(620 real changes made)

. replace region =2 if inlist(Country, 2, 5, 11) 
(200 real changes made)

. replace region =3 if Country > 20
(417 real changes made)

. label define region 1"Western Europe" 2"Southern Europe" 3"Postcommunist Europe" 

. label values region region

. fre region

region
----------------------------------------------------------------------------
                               |      Freq.    Percent      Valid       Cum.
-------------------------------+--------------------------------------------
Valid   1 Western Europe       |        620      50.12      50.12      50.12
        2 Southern Europe      |        200      16.17      16.17      66.29
        3 Postcommunist Europe |        417      33.71      33.71     100.00
        Total                  |       1237     100.00     100.00           
----------------------------------------------------------------------------

. 
. 
. *** Variable Decades 
. recode Year (1930/1939 = 1930 "1930s") (1940/1949 = 1940 "1940s") (1950/1959 = 1950 "1950s") (1960/1969 = 1960 "1960s") (1970/1
> 979= 1970 "1970s") (1980/1989=1980 "1980s") (1990/1999=1990 "1990s") ///
> (2000/2009 = 2000 "2000s") (2010/2019 = 2010 "2010s"), gen(decade)
(1121 differences between Year and decade)

. 
.  
. * Information about Maximal and Minimal Values on the Index of Election Frequency
. su index_n_w_5

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
 index_n_w_5 |        321    .6875192    .6084017          0   3.257651

. list Country Year if index_n_w_5 == r(min)

      +--------------------+
      |     Country   Year |
      |--------------------|
 567. |       Malta   1971 |
 568. |       Malta   1976 |
 569. |       Malta   1981 |
 570. |       Malta   1987 |
 601. | Netherlands   1946 |
      |--------------------|
 674. |      Norway   1945 |
      +--------------------+

. list Country Year if index_n_w_5 == r(max)

      +----------------+
      | Country   Year |
      |----------------|
 229. |  France   1946 |
      +----------------+

. tabstat index_n_w_5 if Country<20, by(decade) // .4461522 = between the 1970s and 2010s

Summary for variables: index_n_w_5
Group variable: decade (RECODE of Year (Year))

decade |      Mean
-------+----------
 1930s |         .
 1940s |  .7894581
 1950s |  .4891478
 1960s |  .5214578
 1970s |   .426697
 1980s |  .6304127
 1990s |  .5958018
 2000s |   .715981
 2010s |  .8728492
-------+----------
 Total |  .6291178
------------------

. *France 
. tabstat index_n_w_5 if Country==4, by(decade) // 1.7265675 = increase between the 1970s and 2010s

Summary for variables: index_n_w_5
Group variable: decade (RECODE of Year (Year))

decade |      Mean
-------+----------
 1940s |  2.671179
 1950s |  .6867706
 1960s |   1.31653
 1970s |  .7245865
 1980s |  1.556322
 1990s |  .9016856
 2000s |  2.244863
 2010s |  2.451154
-------+----------
 Total |  1.566849
------------------

. *Greece 
. tabstat index_n_w_5 if Country==5, by(decade) // 1.12 = increase between the 1970s and 2010s

Summary for variables: index_n_w_5
Group variable: decade (RECODE of Year (Year))

decade |      Mean
-------+----------
 1960s |         .
 1970s |  .2512909
 1980s |   .798886
 1990s |  .7331763
 2000s |  .8076237
 2010s |  1.379661
-------+----------
 Total |  .8903587
------------------

. 
. 
. *** Figure First Analysis 
. 
. *For results 
. gen num_of_elections_5 = index_nofel_5 + index_nofel_4 + index_nofel_3 + index_nofel_2 + index_nofel_1 + index_nofel_0_5 + inde
> x_nofel_0_35d 
(916 missing values generated)

. pwcorr num_of_elections_5  Turnout // => - 0.593

             | num_of~5  Turnout
-------------+------------------
num_of_ele~5 |   1.0000 
     Turnout |  -0.5927   1.0000 

. sort Country Year

. 
. cap set scheme bw // Setting the scheme, not necessary for running the script

.  
. *Figure 1
. local l = 1/365.25

. tw function y=1/exp(x), range(`l' 5) || function y=0.75/exp(x), range(`l' 5)  || function y=0.50/exp(x), range(`l' 5)  ///
> || function y=0.25/exp(x), range(`l' 5)   xtitle("Distance in Years (from election {it:i} for which the index is calculated)", 
> margin(medsmall)) ytitle("Contribution to the Index for Past Election {it:j}") scale(0.8)  ylabel(0(.2)1) ///
> legend(row(4) lab(1 "Eligible voters = the whole electorate") lab(2 "Eligible voters = 75 % of the electorate")  lab(3 "Eligibl
> e voters = 50 % of the electorate")  lab(4 "Eligible voters = 25 % of the electorate") size(small) bplace(1) ring(0))  title(""
> )  name(graph1, replace) xlabel(,grid)

. 
. cd `"${beg_path}Results"'
C:\Users\fkostelk\Dropbox\Replication_EF\Results

. graph export "Figure_1.eps", replace  // width(3000) 
file Figure_1.eps saved as EPS format

. 
. *Figure 2
. 
. tw connected Turnout Year if Rankleg !=. || connected num_of_elections_5 Year if Rankleg !=., yaxis(2) by(Country, note("") r1t
> itle("Number of elections", size(medsmall)) legend(position(0)))  ///
> legen(lab(1 "Voter Turnout") lab(2 "Number of Elections (last 5 years)") size(vsmall) row(2)) xtitle("") ytitle("Turnout") /// 
> ytitle("Number of Elections", axis(2)) xlab(, grid) // the position of the legend has to be adjusted manually using the Graph e
> ditor!

.  
. graph export "Figure_2.eps", replace  // 
file Figure_2.eps saved as EPS format

. 
. *** Main Analysis 
. 
. xtset Country Rankleg 

Panel variable: Country (unbalanced)
 Time variable: Rankleg, 1 to 28
         Delta: 1 unit

. eststo clear 

. gen Year_since_1945=Year-1945

. 
.  
. eststo M1: xtpcse Turnout i.snap c.Year_since_1945 i.Country  if Rankleg !=. & Majority!=. & Elsystem!=. & Closeness!=. & CV!=.
>   & Joint1!=., correlation(ar1)  

Number of gaps in sample = 1
note: computations for rho restarted at each gap.
note: estimates of rho outside [-1,1] bounded to be in the range [-1,1].
note: the number of observations per panel, e(n_sigma) = 7,
      used to compute the disturbance of covariance matrix e(Sigma)
      is less than half of the average number of observations per panel,
      e(n_avg) = 14.545455; you may want to consider the pairwise option.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        320
Time variable:    Rankleg                       Number of groups  =         22
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          7
Sigma computed by casewise selection                          avg =  14.545455
                                                              max =         28
Estimated covariances      =       253          R-squared         =     0.7894
Estimated autocorrelations =         1          Wald chi2(23)     =    5228.91
Estimated coefficients     =        24          Prob > chi2       =     0.0000

---------------------------------------------------------------------------------
                |           Panel-corrected
        Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
----------------+----------------------------------------------------------------
         1.snap |  -.6083484   .6487919    -0.94   0.348    -1.879957    .6632604
Year_since_1945 |  -.2238716   .0307348    -7.28   0.000    -.2841107   -.1636324
                |
        Country |
         Spain  |  -9.133326   3.604227    -2.53   0.011    -16.19748    -2.06917
       Finland  |  -11.06367   2.895348    -3.82   0.000    -16.73844   -5.388888
        France  |  -14.46859   2.698031    -5.36   0.000    -19.75663   -9.180543
        Greece  |  -8.790339   2.731369    -3.22   0.001    -14.14372   -3.436955
       Ireland  |  -13.86268    1.68205    -8.24   0.000    -17.15943   -10.56592
       Iceland  |   2.390175   1.486446     1.61   0.108    -.5232061    5.303556
         Malta  |   10.59165   2.480047     4.27   0.000     5.730851    15.45246
   Netherlands  |  -.1468259   2.601056    -0.06   0.955    -5.244801    4.951149
        Norway  |  -6.148612   1.897811    -3.24   0.001    -9.868253   -2.428971
      Portugal  |  -12.99043   4.395075    -2.96   0.003    -21.60462   -4.376242
        Sweden  |   -.029356   2.013163    -0.01   0.988    -3.975083    3.916371
      Bulgaria  |  -14.23731   6.059776    -2.35   0.019    -26.11425   -2.360363
Czech Republic  |   -8.17514   5.943395    -1.38   0.169    -19.82398    3.473701
       Estonia  |  -16.50619   3.042588    -5.43   0.000    -22.46955   -10.54283
       Hungary  |  -14.47597   4.760239    -3.04   0.002    -23.80587   -5.146077
        Latvia  |  -12.22434   5.275288    -2.32   0.020    -22.56371   -1.884964
     Lithuania  |   -23.6409   6.411164    -3.69   0.000    -36.20655   -11.07525
        Poland  |  -30.23071      4.124    -7.33   0.000     -38.3136   -22.14782
       Romania  |  -19.94708   7.634933    -2.61   0.009    -34.91127   -4.982884
      Slovakia  |  -8.154068   6.654183    -1.23   0.220    -21.19603    4.887891
      Slovenia  |   -13.9632   5.709298    -2.45   0.014    -25.15322   -2.773182
                |
          _cons |   93.75596   2.121865    44.19   0.000     89.59718    97.91474
----------------+----------------------------------------------------------------
            rho |   .5356086
---------------------------------------------------------------------------------

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

. estadd local country_year "No" , replace 

added macro:
       e(country_year) : "No"

. estadd local year "Yes" , replace 

added macro:
               e(year) : "Yes"

. estadd local controls "No" , replace 

added macro:
           e(controls) : "No"

. 
. eststo M2: xtpcse Turnout index_nofel_0_35d index_nofel_0_5 ///
> index_nofel_1_2 index_nofel_3_4  index_nofel_5  c.Year_since_1945 i.Country  if Rankleg !=. & Majority!=. & Elsystem!=. & Close
> ness!=. & CV!=.  & Joint1!=., correlation(ar1)  

Number of gaps in sample = 1
note: computations for rho restarted at each gap.
note: the number of observations per panel, e(n_sigma) = 7,
      used to compute the disturbance of covariance matrix e(Sigma)
      is less than half of the average number of observations per panel,
      e(n_avg) = 14.545455; you may want to consider the pairwise option.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        320
Time variable:    Rankleg                       Number of groups  =         22
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          7
Sigma computed by casewise selection                          avg =  14.545455
                                                              max =         28
Estimated covariances      =       253          R-squared         =     0.7983
Estimated autocorrelations =         1          Wald chi2(27)     =    6632.73
Estimated coefficients     =        28          Prob > chi2       =     0.0000

-----------------------------------------------------------------------------------
                  |           Panel-corrected
          Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
------------------+----------------------------------------------------------------
index_nofel_0_35d |  -3.529689   1.331422    -2.65   0.008    -6.139228   -.9201497
  index_nofel_0_5 |   -2.89772   .8234295    -3.52   0.000    -4.511612   -1.283827
  index_nofel_1_2 |  -1.507167   .4758364    -3.17   0.002     -2.43979   -.5745452
  index_nofel_3_4 |  -1.397974   .4423131    -3.16   0.002    -2.264892   -.5310566
    index_nofel_5 |  -.5913197   .4338447    -1.36   0.173     -1.44164    .2590002
  Year_since_1945 |  -.1751468   .0298157    -5.87   0.000    -.2335845   -.1167091
                  |
          Country |
           Spain  |   -9.37722   2.833308    -3.31   0.001     -14.9304   -3.824038
         Finland  |  -11.93432   2.430734    -4.91   0.000    -16.69847    -7.17017
          France  |  -9.368271   2.093983    -4.47   0.000     -13.4724    -5.26414
          Greece  |   -8.49164    2.60854    -3.26   0.001    -13.60428   -3.378996
         Ireland  |  -14.44212   1.472511    -9.81   0.000    -17.32819   -11.55605
         Iceland  |    1.12367   1.566667     0.72   0.473    -1.946941     4.19428
           Malta  |   6.946201   2.266269     3.07   0.002     2.504394    11.38801
     Netherlands  |  -.2623474   2.438712    -0.11   0.914    -5.042135     4.51744
          Norway  |  -8.999678   1.993921    -4.51   0.000    -12.90769   -5.091664
        Portugal  |  -13.49226   3.876708    -3.48   0.001    -21.09047   -5.894054
          Sweden  |  -2.908608   1.724481    -1.69   0.092    -6.288529    .4713125
        Bulgaria  |  -14.26969   4.341611    -3.29   0.001    -22.77909   -5.760284
  Czech Republic  |  -10.18508   4.758012    -2.14   0.032    -19.51061   -.8595478
         Estonia  |  -18.14927    3.15842    -5.75   0.000    -24.33966   -11.95888
         Hungary  |  -16.02953   3.512124    -4.56   0.000    -22.91316   -9.145888
          Latvia  |  -14.04525   4.490457    -3.13   0.002    -22.84638   -5.244115
       Lithuania  |  -21.77729   5.966912    -3.65   0.000    -33.47223   -10.08236
          Poland  |  -28.60923   3.446523    -8.30   0.000    -35.36429   -21.85417
         Romania  |  -19.28288   5.801359    -3.32   0.001    -30.65333   -7.912425
        Slovakia  |  -7.890734   4.546877    -1.74   0.083    -16.80245    1.020982
        Slovenia  |  -10.10457    3.61797    -2.79   0.005    -17.19566   -3.013476
                  |
            _cons |   97.35169   2.196678    44.32   0.000     93.04628    101.6571
------------------+----------------------------------------------------------------
              rho |    .387618
-----------------------------------------------------------------------------------

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

. estadd local country_year "No" , replace 

added macro:
       e(country_year) : "No"

. estadd local year "Yes" , replace 

added macro:
               e(year) : "Yes"

. estadd local controls "No" , replace 

added macro:
           e(controls) : "No"

. 
. eststo M3: xtpcse Turnout Majority Closeness i.Elsystem i.CV i.Joint1 c.Year_since_1945 c.Year_since_1945#i.Country i.Country i
> ndex_nofel_0_35d  index_nofel_0_5 ///
>  index_nofel_1_2 index_nofel_3_4  index_nofel_5  if Rankleg !=., correlation(ar1)  

Number of gaps in sample = 1
note: computations for rho restarted at each gap.
note: the number of observations per panel, e(n_sigma) = 7,
      used to compute the disturbance of covariance matrix e(Sigma)
      is less than half of the average number of observations per panel,
      e(n_avg) = 14.545455; you may want to consider the pairwise option.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        320
Time variable:    Rankleg                       Number of groups  =         22
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          7
Sigma computed by casewise selection                          avg =  14.545455
                                                              max =         28
Estimated covariances      =       253          R-squared         =     0.9054
Estimated autocorrelations =         1          Wald chi2(54)     =  682807.52
Estimated coefficients     =        55          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |  -.2373458   .0614608    -3.86   0.000    -.3578068   -.1168848
                Closeness |  -.0714593   .0455577    -1.57   0.117    -.1607507    .0178321
                          |
                 Elsystem |
            Proportional  |   2.208328   2.459281     0.90   0.369    -2.611773     7.02843
                   Mixed  |    .974449   3.554333     0.27   0.784    -5.991917    7.940815
                          |
                     1.CV |   6.868367   1.432442     4.79   0.000     4.060831    9.675902
                 1.Joint1 |   8.883918   2.821697     3.15   0.002     3.353494    14.41434
          Year_since_1945 |   .0589561   .0288352     2.04   0.041     .0024402    .1154721
                          |
Country#c.Year_since_1945 |
                   Spain  |  -.2019814   .0975192    -2.07   0.038    -.3931156   -.0108472
                 Finland  |  -.2462365   .0716492    -3.44   0.001    -.3866664   -.1058066
                  France  |  -.3448473   .0539798    -6.39   0.000    -.4506457   -.2390489
                  Greece  |  -.2516168   .0681125    -3.69   0.000    -.3851149   -.1181187
                 Ireland  |  -.1503042   .0384211    -3.91   0.000    -.2256081   -.0750002
                 Iceland  |  -.1560959   .0379868    -4.11   0.000    -.2305486   -.0816431
                   Malta  |   .0173555   .0453994     0.38   0.702    -.0716258    .1063367
             Netherlands  |  -.1676508    .049428    -3.39   0.001    -.2645279   -.0707736
                  Norway  |  -.0622593   .0489148    -1.27   0.203    -.1581306     .033612
                Portugal  |  -.8357439   .0707517   -11.81   0.000    -.9744146   -.6970732
                  Sweden  |   .0128399    .044948     0.29   0.775    -.0752566    .1009363
                Bulgaria  |  -1.059887   .2521923    -4.20   0.000    -1.554174   -.5655987
          Czech Republic  |  -1.083863   .2733762    -3.96   0.000    -1.619671   -.5480557
                 Estonia  |  -.1133143   .1721328    -0.66   0.510    -.4506883    .2240597
                 Hungary  |  -.1401653   .2271298    -0.62   0.537    -.5853316    .3050009
                  Latvia  |  -1.148599    .211455    -5.43   0.000    -1.563044   -.7341551
               Lithuania  |  -.8423098   .3893118    -2.16   0.030    -1.605347   -.0792727
                  Poland  |   .1816463   .2220516     0.82   0.413    -.2535668    .6168593
                 Romania  |  -1.550133   .2402215    -6.45   0.000    -2.020959   -1.079307
                Slovakia  |  -1.214709   .2904549    -4.18   0.000    -1.783991   -.6454283
                Slovenia  |  -.7714757   .1874731    -4.12   0.000    -1.138916   -.4040352
                          |
                  Country |
                   Spain  |  -4.152904   5.442172    -0.76   0.445    -14.81937    6.513558
                 Finland  |  -1.441496   3.171867    -0.45   0.649    -7.658241    4.775248
                  France  |   .8854654   1.755251     0.50   0.614    -2.554764    4.325695
                  Greece  |  -5.317289    4.12675    -1.29   0.198    -13.40557    2.770993
                 Ireland  |  -11.30636   1.609498    -7.02   0.000    -14.46091   -8.151801
                 Iceland  |   6.346932   1.638064     3.87   0.000     3.136386    9.557478
                   Malta  |   1.189554   2.774614     0.43   0.668     -4.24859    6.627698
             Netherlands  |   3.659859   2.338545     1.57   0.118    -.9236046    8.243323
                  Norway  |  -6.164343   2.172803    -2.84   0.005    -10.42296   -1.905728
                Portugal  |   22.66519   3.472283     6.53   0.000     15.85964    29.47074
                  Sweden  |  -3.586727   1.868833    -1.92   0.055    -7.249571    .0761178
                Bulgaria  |   40.33356   14.88026     2.71   0.007     11.16878    69.49833
          Czech Republic  |   46.90751   15.94241     2.94   0.003     15.66095    78.15406
                 Estonia  |  -17.53699   10.54625    -1.66   0.096    -38.20726    3.133286
                 Hungary  |  -13.56764   13.61706    -1.00   0.319    -40.25658     13.1213
                  Latvia  |   50.63421   12.81013     3.95   0.000     25.52682     75.7416
               Lithuania  |   21.92402   23.54233     0.93   0.352    -24.21809    68.06614
                  Poland  |  -47.09543   13.28745    -3.54   0.000    -73.13835   -21.05251
                 Romania  |   58.28572   14.82659     3.93   0.000     29.22615     87.3453
                Slovakia  |   55.51369   16.71994     3.32   0.001      22.7432    88.28417
                Slovenia  |   27.29855   11.30411     2.41   0.016     5.142898     49.4542
                          |
        index_nofel_0_35d |  -2.571525   1.098221    -2.34   0.019    -4.723998   -.4190513
          index_nofel_0_5 |  -2.232918   .5029807    -4.44   0.000    -3.218742   -1.247094
          index_nofel_1_2 |  -.6662866   .2968426    -2.24   0.025    -1.248087   -.0844858
          index_nofel_3_4 |  -.6066719   .3060421    -1.98   0.047    -1.206503   -.0068405
            index_nofel_5 |   .0608937   .2809906     0.22   0.828    -.4898378    .6116252
                    _cons |   88.67831   2.985455    29.70   0.000     82.82693     94.5297
--------------------------+----------------------------------------------------------------
                      rho |   .1959071
-------------------------------------------------------------------------------------------

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

. estadd local country_year "Yes" , replace 

added macro:
       e(country_year) : "Yes"

. estadd local year "No" , replace 

added macro:
               e(year) : "No"

. estadd local controls "Yes" , replace 

added macro:
           e(controls) : "Yes"

. 
. eststo M4: xtpcse Turnout Majority Closeness i.Elsystem i.CV i.Joint1 c.Year_since_1945 c.Year_since_1945#i.Country i.Country i
> ndex_n_w_5  if Rankleg !=., correlation(ar1) 

Number of gaps in sample = 1
note: computations for rho restarted at each gap.
note: the number of observations per panel, e(n_sigma) = 7,
      used to compute the disturbance of covariance matrix e(Sigma)
      is less than half of the average number of observations per panel,
      e(n_avg) = 14.545455; you may want to consider the pairwise option.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        320
Time variable:    Rankleg                       Number of groups  =         22
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          7
Sigma computed by casewise selection                          avg =  14.545455
                                                              max =         28
Estimated covariances      =       253          R-squared         =     0.9047
Estimated autocorrelations =         1          Wald chi2(50)     =  426766.38
Estimated coefficients     =        51          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |   -.219678   .0632545    -3.47   0.001    -.3436546   -.0957013
                Closeness |  -.0787557   .0455258    -1.73   0.084    -.1679847    .0104733
                          |
                 Elsystem |
            Proportional  |   2.743119   2.821628     0.97   0.331    -2.787171    8.273409
                   Mixed  |   1.315815     3.7239     0.35   0.724    -5.982894    8.614525
                          |
                     1.CV |   7.155655   1.467427     4.88   0.000      4.27955    10.03176
                 1.Joint1 |   8.448865   3.070697     2.75   0.006     2.430409    14.46732
          Year_since_1945 |   .0565998    .030129     1.88   0.060     -.002452    .1156516
                          |
Country#c.Year_since_1945 |
                   Spain  |  -.1713561   .0944069    -1.82   0.070    -.3563902     .013678
                 Finland  |  -.2491062   .0742631    -3.35   0.001    -.3946593   -.1035531
                  France  |  -.3574318   .0610436    -5.86   0.000    -.4770751   -.2377885
                  Greece  |  -.2260302   .0647567    -3.49   0.000     -.352951   -.0991094
                 Ireland  |  -.1547479   .0394805    -3.92   0.000    -.2321281   -.0773676
                 Iceland  |  -.1458866   .0380986    -3.83   0.000    -.2205585   -.0712148
                   Malta  |   .0089865   .0463291     0.19   0.846    -.0818168    .0997897
             Netherlands  |  -.1670108   .0518457    -3.22   0.001    -.2686265   -.0653952
                  Norway  |  -.0667766   .0489358    -1.36   0.172     -.162689    .0291358
                Portugal  |  -.8455139   .0730223   -11.58   0.000     -.988635   -.7023929
                  Sweden  |   .0047044    .044775     0.11   0.916     -.083053    .0924617
                Bulgaria  |  -1.105684   .2652936    -4.17   0.000     -1.62565   -.5857182
          Czech Republic  |  -1.115832   .2916718    -3.83   0.000    -1.687498   -.5441656
                 Estonia  |  -.0622306   .1779802    -0.35   0.727    -.4110654    .2866042
                 Hungary  |  -.1299314   .2318456    -0.56   0.575    -.5843404    .3244776
                  Latvia  |  -1.137608    .207329    -5.49   0.000    -1.543965   -.7312501
               Lithuania  |  -.8505923   .3720615    -2.29   0.022    -1.579819   -.1213652
                  Poland  |   .2410488   .2163109     1.11   0.265    -.1829128    .6650105
                 Romania  |  -1.589346   .2228914    -7.13   0.000    -2.026206   -1.152487
                Slovakia  |  -1.227395   .2758406    -4.45   0.000    -1.768033   -.6867576
                Slovenia  |  -.7298533   .2206869    -3.31   0.001    -1.162392    -.297315
                          |
                  Country |
                   Spain  |  -5.491908   5.242849    -1.05   0.295     -15.7677    4.783887
                 Finland  |   -1.42504   3.320317    -0.43   0.668    -7.932741    5.082661
                  France  |   2.019479   1.969319     1.03   0.305    -1.840315    5.879272
                  Greece  |  -6.461913   3.875048    -1.67   0.095    -14.05687    1.133041
                 Ireland  |  -10.73549   1.625448    -6.60   0.000    -13.92131   -7.549665
                 Iceland  |   6.453476   1.631074     3.96   0.000      3.25663    9.650322
                   Malta  |   2.325479   2.581553     0.90   0.368    -2.734272     7.38523
             Netherlands  |   3.681466   2.435326     1.51   0.131    -1.091684    8.454616
                  Norway  |  -5.546332   2.105333    -2.63   0.008    -9.672708   -1.419955
                Portugal  |   23.50851   3.574407     6.58   0.000     16.50281    30.51422
                  Sweden  |  -2.845253   1.873375    -1.52   0.129       -6.517    .8264936
                Bulgaria  |   42.89143   15.65639     2.74   0.006     12.20547    73.57738
          Czech Republic  |   48.80024   17.01574     2.87   0.004        15.45    82.15049
                 Estonia  |    -20.453   10.93242    -1.87   0.061    -41.88014    .9741443
                 Hungary  |  -14.07518   13.89429    -1.01   0.311    -41.30749    13.15714
                  Latvia  |   49.89246   12.57042     3.97   0.000     25.25488    74.53003
               Lithuania  |   21.81774   22.36992     0.98   0.329    -22.02651    65.66198
                  Poland  |  -50.29211   12.88321    -3.90   0.000    -75.54273   -25.04149
                 Romania  |   61.60162   13.97434     4.41   0.000     34.21242    88.99082
                Slovakia  |   56.38766    15.9451     3.54   0.000     25.13584    87.63949
                Slovenia  |   24.61268   13.41672     1.83   0.067     -1.68361    50.90897
                          |
              index_n_w_5 |  -2.881664      .6039    -4.77   0.000    -4.065286   -1.698041
                    _cons |   87.32521   3.170834    27.54   0.000     81.11049    93.53993
--------------------------+----------------------------------------------------------------
                      rho |   .2082264
-------------------------------------------------------------------------------------------

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

. estadd local country_year "Yes" , replace 

added macro:
       e(country_year) : "Yes"

. estadd local year "No" , replace 

added macro:
               e(year) : "No"

. estadd local controls "Yes" , replace 

added macro:
           e(controls) : "Yes"

. 
. eststo M5: xtpcse Turnout Majority Closeness i.Elsystem i.CV i.Joint1 c.Year_since_1945 c.Year_since_1945#i.Country i.Country  
> index_n_w_5 index_nofel_0_35d index_nofel_0_5 ///
> index_nofel_1_2 index_nofel_3_4  index_nofel_5 i.snap if Rankleg !=., correlation(ar1)  

Number of gaps in sample = 1
note: computations for rho restarted at each gap.
note: the number of observations per panel, e(n_sigma) = 7,
      used to compute the disturbance of covariance matrix e(Sigma)
      is less than half of the average number of observations per panel,
      e(n_avg) = 14.545455; you may want to consider the pairwise option.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        320
Time variable:    Rankleg                       Number of groups  =         22
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          7
Sigma computed by casewise selection                          avg =  14.545455
                                                              max =         28
Estimated covariances      =       253          R-squared         =     0.9077
Estimated autocorrelations =         1          Wald chi2(56)     =  493535.55
Estimated coefficients     =        57          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |  -.2339145   .0621523    -3.76   0.000    -.3557308   -.1120982
                Closeness |  -.0753488   .0460812    -1.64   0.102    -.1656662    .0149687
                          |
                 Elsystem |
            Proportional  |   2.154386    2.76391     0.78   0.436    -3.262778     7.57155
                   Mixed  |   1.118825   3.640862     0.31   0.759    -6.017134    8.254784
                          |
                     1.CV |   7.121717   1.483581     4.80   0.000     4.213951    10.02948
                 1.Joint1 |   9.213647   2.816643     3.27   0.001     3.693127    14.73417
          Year_since_1945 |   .0571544   .0299008     1.91   0.056    -.0014502     .115759
                          |
Country#c.Year_since_1945 |
                   Spain  |  -.1885397    .091274    -2.07   0.039    -.3674334   -.0096459
                 Finland  |  -.2461079   .0688748    -3.57   0.000    -.3811001   -.1111157
                  France  |  -.3473828   .0614354    -5.65   0.000    -.4677939   -.2269716
                  Greece  |  -.2353162   .0662971    -3.55   0.000    -.3652562   -.1053763
                 Ireland  |  -.1480026   .0388355    -3.81   0.000    -.2241189   -.0718864
                 Iceland  |  -.1485302   .0375693    -3.95   0.000    -.2221647   -.0748958
                   Malta  |   .0163638   .0493693     0.33   0.740    -.0803983    .1131259
             Netherlands  |  -.1633555   .0515242    -3.17   0.002    -.2643411   -.0623699
                  Norway  |  -.0652479   .0477545    -1.37   0.172     -.158845    .0283492
                Portugal  |  -.8321937   .0765126   -10.88   0.000    -.9821557   -.6822317
                  Sweden  |   .0127156   .0405631     0.31   0.754    -.0667866    .0922179
                Bulgaria  |  -1.065159   .2520739    -4.23   0.000    -1.559214   -.5711031
          Czech Republic  |  -1.062976   .2814372    -3.78   0.000    -1.614583   -.5113694
                 Estonia  |  -.1132429   .1714638    -0.66   0.509    -.4493058      .22282
                 Hungary  |  -.1450284   .2242972    -0.65   0.518    -.5846428    .2945861
                  Latvia  |  -1.137618   .2125038    -5.35   0.000    -1.554118   -.7211186
               Lithuania  |  -.8617157    .389956    -2.21   0.027    -1.626015    -.097416
                  Poland  |   .2087616   .2130096     0.98   0.327    -.2087296    .6262527
                 Romania  |  -1.524813   .2273121    -6.71   0.000    -1.970336   -1.079289
                Slovakia  |  -1.205727   .2654292    -4.54   0.000    -1.725958   -.6854948
                Slovenia  |  -.6815787   .2077641    -3.28   0.001    -1.088789   -.2743686
                          |
                  Country |
                   Spain  |  -4.410141   5.062836    -0.87   0.384    -14.33312    5.512834
                 Finland  |  -1.330114   3.044239    -0.44   0.662    -7.296712    4.636485
                  France  |   1.223216   2.069746     0.59   0.555    -2.833411    5.279844
                  Greece  |  -6.079188   4.055632    -1.50   0.134    -14.02808    1.869705
                 Ireland  |  -11.19716   1.614156    -6.94   0.000    -14.36085   -8.033477
                 Iceland  |   6.238429   1.594287     3.91   0.000     3.113684    9.363173
                   Malta  |   1.324048   2.915881     0.45   0.650    -4.390973    7.039069
             Netherlands  |   3.714279   2.422623     1.53   0.125    -1.033975    8.462534
                  Norway  |  -6.120892   2.149439    -2.85   0.004    -10.33372   -1.908068
                Portugal  |   22.61415   3.757232     6.02   0.000     15.25011    29.97819
                  Sweden  |  -3.371772   1.667147    -2.02   0.043    -6.639319   -.1042237
                Bulgaria  |   40.34474   14.86579     2.71   0.007     11.20833    69.48115
          Czech Republic  |   45.53369    16.4004     2.78   0.005      13.3895    77.67788
                 Estonia  |  -17.42762   10.53902    -1.65   0.098    -38.08371    3.228471
                 Hungary  |  -13.47839   13.38098    -1.01   0.314    -39.70464    12.74786
                  Latvia  |   50.09169   12.87586     3.89   0.000     24.85546    75.32792
               Lithuania  |   22.72102   23.57932     0.96   0.335     -23.4936    68.93563
                  Poland  |  -48.45561   12.75249    -3.80   0.000    -73.45003    -23.4612
                 Romania  |   57.32645   14.09927     4.07   0.000     29.69239    84.96052
                Slovakia  |   55.17067   15.22421     3.62   0.000     25.33175    85.00958
                Slovenia  |   21.80084    12.5609     1.74   0.083    -2.818073    46.41975
                          |
              index_n_w_5 |  -3.404598   1.598631    -2.13   0.033    -6.537857   -.2713389
        index_nofel_0_35d |   .8217928   2.020129     0.41   0.684    -3.137587    4.781173
          index_nofel_0_5 |   -.048365   1.064645    -0.05   0.964    -2.135032    2.038302
          index_nofel_1_2 |   .3187471   .5595245     0.57   0.569    -.7779008    1.415395
          index_nofel_3_4 |  -.3837479   .3359968    -1.14   0.253    -1.042289    .2747936
            index_nofel_5 |   .1458038   .2862087     0.51   0.610     -.415155    .7067626
                   1.snap |   .3042807   .5702883     0.53   0.594    -.8134638    1.422025
                    _cons |   88.54288    3.19703    27.70   0.000     82.27682    94.80895
--------------------------+----------------------------------------------------------------
                      rho |   .1810676
-------------------------------------------------------------------------------------------

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

. estadd local country_year "Yes" , replace 

added macro:
       e(country_year) : "Yes"

. estadd local year "No" , replace 

added macro:
               e(year) : "No"

. estadd local controls "Yes" , replace 

added macro:
           e(controls) : "Yes"

. 
. eststo M6: xtpcse Turnout Majority Closeness i.Elsystem i.CV i.Joint1 c.Year_since_1945 c.Year_since_1945#i.Country i.Country i
> ndex_w_5   if Rankleg !=., correlation(ar1) 

Number of gaps in sample = 1
note: computations for rho restarted at each gap.
note: the number of observations per panel, e(n_sigma) = 7,
      used to compute the disturbance of covariance matrix e(Sigma)
      is less than half of the average number of observations per panel,
      e(n_avg) = 14.545455; you may want to consider the pairwise option.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        320
Time variable:    Rankleg                       Number of groups  =         22
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          7
Sigma computed by casewise selection                          avg =  14.545455
                                                              max =         28
Estimated covariances      =       253          R-squared         =     0.9045
Estimated autocorrelations =         1          Wald chi2(50)     =  386150.49
Estimated coefficients     =        51          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |  -.2221535   .0634342    -3.50   0.000    -.3464823   -.0978248
                Closeness |  -.0810022   .0456603    -1.77   0.076    -.1704948    .0084904
                          |
                 Elsystem |
            Proportional  |   2.798828   2.924138     0.96   0.338    -2.932377    8.530033
                   Mixed  |   1.226416   3.777128     0.32   0.745    -6.176619     8.62945
                          |
                     1.CV |   7.041989   1.482596     4.75   0.000     4.136155    9.947823
                 1.Joint1 |   8.308708   3.134784     2.65   0.008     2.164645    14.45277
          Year_since_1945 |    .050941   .0303926     1.68   0.094    -.0086274    .1105094
                          |
Country#c.Year_since_1945 |
                   Spain  |  -.1520253    .097679    -1.56   0.120    -.3434726     .039422
                 Finland  |  -.2464708    .074986    -3.29   0.001    -.3934406    -.099501
                  France  |  -.3448306   .0634024    -5.44   0.000    -.4690971   -.2205642
                  Greece  |  -.2191842   .0646731    -3.39   0.001    -.3459411   -.0924273
                 Ireland  |   -.153069   .0391302    -3.91   0.000    -.2297628   -.0763752
                 Iceland  |  -.1404207    .038958    -3.60   0.000     -.216777   -.0640643
                   Malta  |   .0139428   .0470778     0.30   0.767    -.0783279    .1062136
             Netherlands  |  -.1637047   .0525532    -3.12   0.002    -.2667071   -.0607023
                  Norway  |  -.0608376   .0493881    -1.23   0.218    -.1576364    .0359612
                Portugal  |  -.8553378    .073173   -11.69   0.000    -.9987542   -.7119214
                  Sweden  |   .0078396   .0452745     0.17   0.863    -.0808968     .096576
                Bulgaria  |   -1.11176   .2598479    -4.28   0.000    -1.621052   -.6024673
          Czech Republic  |  -1.116304   .2926059    -3.82   0.000    -1.689801   -.5428068
                 Estonia  |  -.0578481   .1786444    -0.32   0.746    -.4079846    .2922884
                 Hungary  |   -.120035   .2364464    -0.51   0.612    -.5834613    .3433914
                  Latvia  |  -1.142101   .2065315    -5.53   0.000    -1.546895   -.7373068
               Lithuania  |  -.8261491   .3626881    -2.28   0.023    -1.537005   -.1152934
                  Poland  |   .2274556   .2186941     1.04   0.298     -.201177    .6560881
                 Romania  |  -1.591583   .2242805    -7.10   0.000    -2.031165   -1.152002
                Slovakia  |  -1.229056   .2764918    -4.45   0.000     -1.77097   -.6871421
                Slovenia  |  -.7542601   .2255256    -3.34   0.001    -1.196282    -.312238
                          |
                  Country |
                   Spain  |  -6.422989   5.424506    -1.18   0.236    -17.05483    4.208848
                 Finland  |  -1.391222   3.345076    -0.42   0.677    -7.947451    5.165007
                  France  |   1.727554    2.03677     0.85   0.396    -2.264441    5.719549
                  Greece  |  -6.692465   3.888198    -1.72   0.085    -14.31319     .928263
                 Ireland  |  -10.87356   1.612948    -6.74   0.000    -14.03488   -7.712239
                 Iceland  |    6.42566   1.667893     3.85   0.000     3.156649    9.694671
                   Malta  |   2.119281   2.613508     0.81   0.417    -3.003101    7.241664
             Netherlands  |   3.677412   2.461544     1.49   0.135    -1.147126     8.50195
                  Norway  |  -5.684727   2.131472    -2.67   0.008    -9.862336   -1.507118
                Portugal  |   24.06219   3.584266     6.71   0.000     17.03716    31.08722
                  Sweden  |  -2.946023   1.889138    -1.56   0.119    -6.648664     .756619
                Bulgaria  |   43.45501   15.32234     2.84   0.005     13.42378    73.48625
          Czech Republic  |   48.97425   17.07015     2.87   0.004     15.51736    82.43113
                 Estonia  |  -20.55319   10.98715    -1.87   0.061    -42.08762    .9812334
                 Hungary  |  -14.49841   14.16949    -1.02   0.306     -42.2701    13.27328
                  Latvia  |   50.31621   12.51927     4.02   0.000     25.77888    74.85353
               Lithuania  |   20.73031   21.84434     0.95   0.343     -22.0838    63.54443
                  Poland  |  -49.31746   13.03123    -3.78   0.000     -74.8582   -23.77672
                 Romania  |   62.13552   14.10429     4.41   0.000     34.49161    89.77942
                Slovakia  |   56.61522   15.98363     3.54   0.000     25.28788    87.94256
                Slovenia  |   25.93345   13.72542     1.89   0.059    -.9678678    52.83477
                          |
                index_w_5 |  -3.476823   .7336803    -4.74   0.000     -4.91481   -2.038836
                    _cons |   87.49529   3.269664    26.76   0.000     81.08687    93.90372
--------------------------+----------------------------------------------------------------
                      rho |   .2135236
-------------------------------------------------------------------------------------------

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

. estadd local country_year "Yes" , replace 

added macro:
       e(country_year) : "Yes"

. estadd local year "No" , replace 

added macro:
               e(year) : "No"

. estadd local controls "Yes" , replace 

added macro:
           e(controls) : "Yes"

. 
. eststo M7: xtpcse Turnout Majority Closeness i.Elsystem i.CV i.Joint1 c.Year_since_1945 c.Year_since_1945#i.Country i.Country i
> ndex_w_5b if Rankleg !=., correlation(ar1) 

Number of gaps in sample = 1
note: computations for rho restarted at each gap.
note: the number of observations per panel, e(n_sigma) = 7,
      used to compute the disturbance of covariance matrix e(Sigma)
      is less than half of the average number of observations per panel,
      e(n_avg) = 14.545455; you may want to consider the pairwise option.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        320
Time variable:    Rankleg                       Number of groups  =         22
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          7
Sigma computed by casewise selection                          avg =  14.545455
                                                              max =         28
Estimated covariances      =       253          R-squared         =     0.9049
Estimated autocorrelations =         1          Wald chi2(50)     =  383151.24
Estimated coefficients     =        51          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |   -.223386   .0629011    -3.55   0.000      -.34667   -.1001021
                Closeness |   -.076267   .0457708    -1.67   0.096    -.1659761     .013442
                          |
                 Elsystem |
            Proportional  |   2.507043   2.913228     0.86   0.389    -3.202778    8.216864
                   Mixed  |   .7912285   3.781809     0.21   0.834     -6.62098    8.203437
                          |
                     1.CV |   7.093372   1.438943     4.93   0.000     4.273096    9.913648
                 1.Joint1 |   8.384375   3.089054     2.71   0.007      2.32994    14.43881
          Year_since_1945 |   .0535832   .0302533     1.77   0.077    -.0057121    .1128785
                          |
Country#c.Year_since_1945 |
                   Spain  |  -.1639726   .0960277    -1.71   0.088    -.3521835    .0242383
                 Finland  |  -.2435265   .0757265    -3.22   0.001    -.3919477   -.0951053
                  France  |  -.3365711   .0635577    -5.30   0.000    -.4611418   -.2120004
                  Greece  |  -.2277381    .065165    -3.49   0.000    -.3554593    -.100017
                 Ireland  |   -.154534   .0395215    -3.91   0.000    -.2319947   -.0770733
                 Iceland  |  -.1395196   .0395368    -3.53   0.000    -.2170103    -.062029
                   Malta  |   .0087911    .047103     0.19   0.852    -.0835292    .1011113
             Netherlands  |  -.1677931    .051009    -3.29   0.001     -.267769   -.0678172
                  Norway  |  -.0618598    .048977    -1.26   0.207    -.1578529    .0341333
                Portugal  |   -.851854   .0722063   -11.80   0.000    -.9933758   -.7103322
                  Sweden  |   .0093529   .0446935     0.21   0.834    -.0782447    .0969505
                Bulgaria  |  -1.104869   .2612149    -4.23   0.000    -1.616841   -.5928972
          Czech Republic  |  -1.111967   .2927957    -3.80   0.000    -1.685836   -.5380976
                 Estonia  |  -.0584533   .1779458    -0.33   0.743    -.4072207     .290314
                 Hungary  |  -.1269423   .2360138    -0.54   0.591    -.5895208    .3356363
                  Latvia  |  -1.143926   .2071912    -5.52   0.000    -1.550014   -.7378391
               Lithuania  |  -.8242547   .3581313    -2.30   0.021    -1.526179   -.1223302
                  Poland  |   .2228574   .2178705     1.02   0.306     -.204161    .6498757
                 Romania  |  -1.587732   .2266179    -7.01   0.000    -2.031895   -1.143569
                Slovakia  |  -1.235148   .2798178    -4.41   0.000     -1.78358   -.6867148
                Slovenia  |  -.7387592   .2177173    -3.39   0.001    -1.165477   -.3120411
                          |
                  Country |
                   Spain  |  -5.927534   5.333425    -1.11   0.266    -16.38086    4.525788
                 Finland  |  -1.395335   3.379094    -0.41   0.680    -8.018237    5.227568
                  France  |   1.401579   2.059873     0.68   0.496    -2.635697    5.438856
                  Greece  |  -6.283923   3.880984    -1.62   0.105    -13.89051    1.322667
                 Ireland  |  -10.76264   1.631371    -6.60   0.000    -13.96007   -7.565212
                 Iceland  |   6.335379   1.699608     3.73   0.000     3.004208    9.666551
                   Malta  |   2.397287   2.613794     0.92   0.359    -2.725656    7.520229
             Netherlands  |   3.686135   2.399168     1.54   0.124    -1.016148    8.388418
                  Norway  |  -5.664222   2.112549    -2.68   0.007    -9.804742   -1.523702
                Portugal  |   23.93845   3.529256     6.78   0.000     17.02123    30.85566
                  Sweden  |  -2.951775   1.866292    -1.58   0.114     -6.60964    .7060895
                Bulgaria  |   43.19075   15.39718     2.81   0.005     13.01283    73.36868
          Czech Republic  |   48.74386   17.08252     2.85   0.004     15.26274    82.22497
                 Estonia  |  -20.60325   10.93784    -1.88   0.060    -42.04103    .8345303
                 Hungary  |  -13.91119   14.13943    -0.98   0.325    -41.62395    13.80158
                  Latvia  |    50.4022   12.56328     4.01   0.000     25.77863    75.02577
               Lithuania  |   20.77652   21.61952     0.96   0.337    -21.59695       63.15
                  Poland  |  -48.93901   12.98009    -3.77   0.000    -74.37953    -23.4985
                 Romania  |   61.36624   14.18089     4.33   0.000     33.57221    89.16027
                Slovakia  |   56.89586   16.17869     3.52   0.000     25.18622     88.6055
                Slovenia  |   25.16705   13.22885     1.90   0.057    -.7610158    51.09511
                          |
               index_w_5b |  -3.528594   .7639342    -4.62   0.000    -5.025878   -2.031311
                    _cons |   87.55258   3.257022    26.88   0.000     81.16893    93.93622
--------------------------+----------------------------------------------------------------
                      rho |   .2141794
-------------------------------------------------------------------------------------------

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

. estadd local country_year "Yes" , replace 

added macro:
       e(country_year) : "Yes"

. estadd local year "No" , replace 

added macro:
               e(year) : "No"

. estadd local controls "Yes" , replace

added macro:
           e(controls) : "Yes"

. 
. eststo M8: xtpcse Turnout Majority Closeness  i.Elsystem i.CV i.Joint1 c.Year_since_1945  c.Year_since_1945#i.Country i.Country
>  index_n_w_FOE_5 index_n_w_SOE_5 if Rankleg !=., correlation(ar1)  

Number of gaps in sample = 1
note: computations for rho restarted at each gap.
note: the number of observations per panel, e(n_sigma) = 7,
      used to compute the disturbance of covariance matrix e(Sigma)
      is less than half of the average number of observations per panel,
      e(n_avg) = 14.545455; you may want to consider the pairwise option.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        320
Time variable:    Rankleg                       Number of groups  =         22
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          7
Sigma computed by casewise selection                          avg =  14.545455
                                                              max =         28
Estimated covariances      =       253          R-squared         =     0.9050
Estimated autocorrelations =         1          Wald chi2(51)     =  390926.82
Estimated coefficients     =        52          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |  -.2234176   .0624959    -3.57   0.000    -.3459073   -.1009279
                Closeness |  -.0762489   .0463103    -1.65   0.100    -.1670153    .0145176
                          |
                 Elsystem |
            Proportional  |   2.496484   2.934475     0.85   0.395    -3.254981    8.247948
                   Mixed  |   .7800033   3.840236     0.20   0.839    -6.746721    8.306727
                          |
                     1.CV |   7.089607   1.454954     4.87   0.000     4.237949    9.941265
                 1.Joint1 |   8.388746   3.086054     2.72   0.007     2.340192     14.4373
          Year_since_1945 |   .0536435   .0303711     1.77   0.077    -.0058829    .1131698
                          |
Country#c.Year_since_1945 |
                   Spain  |  -.1639399   .0957594    -1.71   0.087    -.3516248     .023745
                 Finland  |  -.2437662    .075763    -3.22   0.001     -.392259   -.0952733
                  France  |  -.3367402   .0656388    -5.13   0.000    -.4653898   -.2080906
                  Greece  |  -.2278231   .0654676    -3.48   0.001    -.3561372    -.099509
                 Ireland  |  -.1546082   .0394431    -3.92   0.000    -.2319152   -.0773012
                 Iceland  |  -.1396116   .0399605    -3.49   0.000    -.2179326   -.0612905
                   Malta  |   .0087273   .0470886     0.19   0.853    -.0835647    .1010193
             Netherlands  |  -.1680317   .0512077    -3.28   0.001     -.268397   -.0676665
                  Norway  |  -.0619806    .049226    -1.26   0.208    -.1584617    .0345006
                Portugal  |  -.8516795   .0722471   -11.79   0.000    -.9932813   -.7100777
                  Sweden  |   .0092625   .0448754     0.21   0.836    -.0786917    .0972167
                Bulgaria  |  -1.104871   .2606521    -4.24   0.000    -1.615739   -.5940021
          Czech Republic  |  -1.111716   .2926482    -3.80   0.000    -1.685296    -.538136
                 Estonia  |   -.058415   .1778214    -0.33   0.743    -.4069385    .2901085
                 Hungary  |  -.1273556   .2351596    -0.54   0.588      -.58826    .3335488
                  Latvia  |  -1.143433   .2060794    -5.55   0.000    -1.547341   -.7395247
               Lithuania  |  -.8236221   .3617335    -2.28   0.023    -1.532607   -.1146375
                  Poland  |   .2228005    .217032     1.03   0.305    -.2025745    .6481755
                 Romania  |  -1.587538   .2260235    -7.02   0.000    -2.030536   -1.144541
                Slovakia  |  -1.235335   .2783679    -4.44   0.000    -1.780926   -.6897444
                Slovenia  |  -.7385698   .2175802    -3.39   0.001    -1.165019   -.3121204
                          |
                  Country |
                   Spain  |  -5.930732   5.315661    -1.12   0.265    -16.34924    4.487771
                 Finland  |  -1.387565   3.373829    -0.41   0.681    -8.000148    5.225019
                  France  |   1.402287   2.112261     0.66   0.507    -2.737668    5.542242
                  Greece  |  -6.276575   3.923827    -1.60   0.110    -13.96714    1.413984
                 Ireland  |  -10.76031   1.627844    -6.61   0.000    -13.95082    -7.56979
                 Iceland  |   6.338857   1.699001     3.73   0.000     3.008877    9.668838
                   Malta  |   2.400208   2.624598     0.91   0.360     -2.74391    7.544326
             Netherlands  |    3.69632   2.406211     1.54   0.124    -1.019768    8.412407
                  Norway  |  -5.660229   2.112573    -2.68   0.007    -9.800797   -1.519661
                Portugal  |   23.92732   3.547152     6.75   0.000     16.97503    30.87961
                  Sweden  |  -2.949837   1.866971    -1.58   0.114    -6.609032    .7093588
                Bulgaria  |   43.18337   15.37583     2.81   0.005      13.0473    73.31944
          Czech Republic  |   48.72115   17.05244     2.86   0.004     15.29898    82.14331
                 Estonia  |   -20.6077   10.92203    -1.89   0.059    -42.01447     .799081
                 Hungary  |  -13.89104   14.10326    -0.98   0.325    -41.53292    13.75083
                  Latvia  |   50.36721   12.48709     4.03   0.000     25.89295    74.84147
               Lithuania  |   20.73105   21.73363     0.95   0.340    -21.86607    63.32817
                  Poland  |  -48.93963   12.94883    -3.78   0.000    -74.31887   -23.56038
                 Romania  |   61.34971   14.17222     4.33   0.000     33.57268    89.12675
                Slovakia  |    56.9001   16.09555     3.54   0.000      25.3534     88.4468
                Slovenia  |   25.15377   13.21901     1.90   0.057    -.7550116    51.06255
                          |
          index_n_w_FOE_5 |  -3.528533   1.014951    -3.48   0.001      -5.5178   -1.539267
          index_n_w_SOE_5 |  -2.437651   .6421917    -3.80   0.000    -3.696324   -1.178979
                    _cons |   87.56271   3.260084    26.86   0.000     81.17306    93.95236
--------------------------+----------------------------------------------------------------
                      rho |   .2115767
-------------------------------------------------------------------------------------------

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

. estadd local country_year "Yes" , replace 

added macro:
       e(country_year) : "Yes"

. estadd local year "No" , replace 

added macro:
               e(year) : "No"

. estadd local controls "Yes" , replace 

added macro:
           e(controls) : "Yes"

. 
. eststo M9: xtpcse Turnout Majority Closeness i.Elsystem i.CV i.Joint1 i.Country c.Year_since_1945#i.Country i.Country index_n_w
> _national_5 index_n_w_referendum_5       index_n_w_supranational_5 index_n_w_subnational_5 , correlation(ar1)  

Number of gaps in sample = 1
note: computations for rho restarted at each gap.
note: the number of observations per panel, e(n_sigma) = 7,
      used to compute the disturbance of covariance matrix e(Sigma)
      is less than half of the average number of observations per panel,
      e(n_avg) = 14.545455; you may want to consider the pairwise option.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        320
Time variable:    Rankleg                       Number of groups  =         22
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          7
Sigma computed by casewise selection                          avg =  14.545455
                                                              max =         28
Estimated covariances      =       253          R-squared         =     0.9051
Estimated autocorrelations =         1          Wald chi2(53)     =  421183.07
Estimated coefficients     =        54          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |  -.2286812   .0642351    -3.56   0.000    -.3545796   -.1027828
                Closeness |  -.0778522   .0455891    -1.71   0.088    -.1672052    .0115007
                          |
                 Elsystem |
            Proportional  |   2.800345   3.054835     0.92   0.359    -3.187021    8.787711
                   Mixed  |   .8357347   3.928417     0.21   0.832    -6.863821     8.53529
                          |
                     1.CV |   7.191787   1.499378     4.80   0.000     4.253061    10.13051
                 1.Joint1 |    8.15726   3.119835     2.61   0.009     2.042496    14.27202
                          |
                  Country |
                   Spain  |  -6.429101   5.560367    -1.16   0.248    -17.32722    4.469019
                 Finland  |  -1.267061   3.448951    -0.37   0.713     -8.02688    5.492758
                  France  |   1.411268   2.184058     0.65   0.518    -2.869406    5.691942
                  Greece  |  -6.803777   4.167161    -1.63   0.103    -14.97126     1.36371
                 Ireland  |  -10.78756   1.591684    -6.78   0.000     -13.9072   -7.667918
                 Iceland  |   6.410556   1.731693     3.70   0.000       3.0165    9.804612
                   Malta  |   2.273326   2.638923     0.86   0.389    -2.898868     7.44552
             Netherlands  |    3.71097   2.468881     1.50   0.133    -1.127948    8.549888
                  Norway  |  -5.692714   2.118996    -2.69   0.007     -9.84587   -1.539558
                Portugal  |   23.76999   3.590472     6.62   0.000     16.73279    30.80718
                  Sweden  |   -3.08822   1.930672    -1.60   0.110    -6.872267    .6958281
                Bulgaria  |   43.11162   15.59854     2.76   0.006     12.53905    73.68419
          Czech Republic  |   48.28711   17.11799     2.82   0.005     14.73648    81.83775
                 Estonia  |  -21.07694   10.98377    -1.92   0.055    -42.60473    .4508474
                 Hungary  |  -14.13702   14.33194    -0.99   0.324     -42.2271    13.95307
                  Latvia  |   50.31184   12.36662     4.07   0.000     26.07371    74.54997
               Lithuania  |   19.54423   21.20767     0.92   0.357    -22.02203    61.11049
                  Poland  |  -49.28974   12.99481    -3.79   0.000    -74.75909   -23.82039
                 Romania  |   62.22054   14.42763     4.31   0.000     33.94289    90.49818
                Slovakia  |   56.48923   15.91805     3.55   0.000     25.29043    87.68803
                Slovenia  |    26.5277   12.96892     2.05   0.041      1.10909    51.94631
                          |
Country#c.Year_since_1945 |
                 Denmark  |   .0566782   .0314479     1.80   0.072    -.0049586     .118315
                   Spain  |   -.099353   .0976211    -1.02   0.309    -.2906868    .0919808
                 Finland  |  -.1904987   .0691383    -2.76   0.006    -.3260074   -.0549901
                  France  |  -.2754454   .0682275    -4.04   0.000    -.4091689    -.141722
                  Greece  |  -.1613212    .067652    -2.38   0.017    -.2939167   -.0287257
                 Ireland  |    -.10427   .0364578    -2.86   0.004    -.1757259   -.0328141
                 Iceland  |  -.0864165   .0239348    -3.61   0.000    -.1333279   -.0395051
                   Malta  |   .0626837   .0334217     1.88   0.061    -.0028216    .1281891
             Netherlands  |  -.1104884   .0396111    -2.79   0.005    -.1881247   -.0328521
                  Norway  |  -.0072283   .0437502    -0.17   0.869    -.0929772    .0785206
                Portugal  |  -.7921951   .0680779   -11.64   0.000    -.9256254   -.6587648
                  Sweden  |   .0664102   .0481236     1.38   0.168    -.0279103    .1607308
                Bulgaria  |  -1.047164   .2699878    -3.88   0.000    -1.576331    -.517998
          Czech Republic  |   -1.04662   .2963842    -3.53   0.000    -1.627522   -.4657174
                 Estonia  |   .0048846   .1775766     0.03   0.978    -.3431591    .3529283
                 Hungary  |  -.0669806   .2340525    -0.29   0.775     -.525715    .3917538
                  Latvia  |  -1.087598   .2037472    -5.34   0.000    -1.486935   -.6882611
               Lithuania  |  -.7461268   .3537978    -2.11   0.035    -1.439558    -.052696
                  Poland  |   .2840725   .2159759     1.32   0.188    -.1392326    .7073775
                 Romania  |   -1.54329   .2248245    -6.86   0.000    -1.983938   -1.102642
                Slovakia  |  -1.171864    .274004    -4.28   0.000    -1.708902   -.6348265
                Slovenia  |  -.7095838     .21175    -3.35   0.001    -1.124606   -.2945616
                          |
     index_n_w_national_5 |   -3.58628   1.037114    -3.46   0.001    -5.618986   -1.553574
   index_n_w_referendum_5 |  -1.989782   .9671318    -2.06   0.040    -3.885325   -.0942384
index_n_w_supranational_5 |  -3.024995   1.267805    -2.39   0.017    -5.509849   -.5401423
  index_n_w_subnational_5 |  -2.719959   .9167226    -2.97   0.003    -4.516703   -.9232162
                    _cons |   87.36658    3.34687    26.10   0.000     80.80684    93.92633
--------------------------+----------------------------------------------------------------
                      rho |   .2142647
-------------------------------------------------------------------------------------------

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

. estadd local country_year "Yes" , replace 

added macro:
       e(country_year) : "Yes"

. estadd local year "No" , replace 

added macro:
               e(year) : "No"

. estadd local controls "Yes" , replace 

added macro:
           e(controls) : "Yes"

. 
. *None of these differences is statistically significant
. test index_n_w_national_5 = index_n_w_referendum_5

 ( 1)  index_n_w_national_5 - index_n_w_referendum_5 = 0

           chi2(  1) =    1.41
         Prob > chi2 =    0.2355

. test index_n_w_referendum_5 = index_n_w_supranational_5 

 ( 1)  index_n_w_referendum_5 - index_n_w_supranational_5 = 0

           chi2(  1) =    0.42
         Prob > chi2 =    0.5188

. test index_n_w_referendum_5 = index_n_w_subnational_5

 ( 1)  index_n_w_referendum_5 - index_n_w_subnational_5 = 0

           chi2(  1) =    0.31
         Prob > chi2 =    0.5801

.  
. *************** 
. *** Table 1 *** 
. ***************
.  
. esttab  M1 M2 M3 M4 M5 M6 M7 M8 M9 using Table_1.tex, one incelldelimite("\:")  stats(controls  year country_year fixed N r2, l
> abels("Controls" "Time Trend" "Country-Specific Time Trend" "Country FE"  "N" "R2") layout("\multicolumn{1}{c}{@}" "\multicolum
> n{1}{c}{@}" "\multicolumn{1}{c}{@}"  "\multicolumn{1}{c}{@}" "\multicolumn{1}{c}{@}" "\multicolumn{1}{c}{@}" )  fmt(0 0 0 0 0 3
> )) replace b(2) se(2) wide staraux ///
>                 star(* 0.05 ** 0.01 *** 0.001) eqlabels(none) order(1.snap index_nofel_0_35d index_nofel_0_5 index_nofel_1_2 in
> dex_nofel_3_4 index_nofel_5 index_n_w_5 index_w_5 index_w_5b  index_n_w_FOE_5 index_n_w_SOE_5  ///
>                 index_n_w_national_5 index_n_w_referendum_5     index_n_w_supranational_5 index_n_w_subnational_5 ) ///
>                 drop(*.Country* Majority Closeness *.Elsystem *.CV 1.Joint1 0.Joint1 Year_since_1945 0.snap) varlabels(index_no
> fel_0_5 "Number of Elections: 0.1-0.5 years" 1.snap "Snap Election" _cons "Constant",  elist(Year \hline ))   label /// 
>                 nodep  ///  
>                 nolegend note("") alignment(d{10})  nomtitles // 
(output written to Table_1.tex)

.         
. *** Full Table 1 for the Appendix (Table A2)
. esttab M1 M2 M3 M4 M5 M6 M7 M8 M9 using A_Table_2.tex, one incelldelimite("\:")  stats(year country_year fixed N r2, labels("Ti
> me Trend" "Country-Specific Time Trend" "Country FE"  "N" "R2") layout("\multicolumn{1}{c}{@}" /// 
> "\multicolumn{1}{c}{@}" "\multicolumn{1}{c}{@}" "\multicolumn{1}{c}{$@$}" "\multicolumn{1}{c}{$@$}")  ///
> fmt(0 0 0 0 2)) replace b(2) se(2) wide staraux ///
>                 star(* 0.05 ** 0.01 *** 0.001) eqlabels(none) order(Majority Closeness *.Elsystem 1.CV 1.Joint1 1.snap index_no
> fel_0_35d index_nofel_0_5 index_nofel_1_2 index_nofel_3_4 index_nofel_5 index_n_w_5 index_w_5 index_w_5b  index_n_w_FOE_5 index
> _n_w_SOE_5  ///
>                 index_n_w_national_5 index_n_w_referendum_5     index_n_w_supranational_5 index_n_w_subnational_5  ) ///
>                 drop(*.Country* Year_since_1945 ) varlabels(1.snap "Snap Election" index_nofel_0_5 "Number of Elections: 0.1-0.
> 5 years"  1.Joint1 "Concurrent Elections" /// 
>                 1.CV "Compulsory Voting" _cons "Constant",  )   label ///  
>  nodep  nobase refcat(Majority "\textit{Controls:}" index_nofel_0_35d "\textit{Election Frequency:}", nolabel) ///   
>                 nolegend note("") alignment(d{10})  nomtitles // 
(output written to A_Table_2.tex)

.         
.  
.  
. **************** 
. *** Table A3 *** 
. ****************
.  
. eststo clear 

. eststo M1: xtpcse Turnout Majority Closeness i.Elsystem i.CV i.Joint1 c.Year_since_1945  c.Year_since_1945#i.Country i.Country 
>  index_n_w_5 GDP_pc c.GDP_pc#c.GDP_pc if Rankleg !=.,  correlation(ar1)  // GDP

Number of gaps in sample = 1
note: computations for rho restarted at each gap.
note: the number of observations per panel, e(n_sigma) = 5,
      used to compute the disturbance of covariance matrix e(Sigma)
      is less than half of the average number of observations per panel,
      e(n_avg) = 13.5; you may want to consider the pairwise option.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        297
Time variable:    Rankleg                       Number of groups  =         22
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          7
Sigma computed by casewise selection                          avg =       13.5
                                                              max =         27
Estimated covariances      =       253          R-squared         =     0.9145
Estimated autocorrelations =         1          Wald chi2(51)     = 2769297.68
Estimated coefficients     =        53          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |  -.2073797   .0530281    -3.91   0.000    -.3113129   -.1034465
                Closeness |   -.091053   .0451128    -2.02   0.044    -.1794724   -.0026336
                          |
                 Elsystem |
            Proportional  |   3.783776   2.912214     1.30   0.194    -1.924058    9.491611
                   Mixed  |   2.075015   3.874992     0.54   0.592    -5.519831    9.669861
                          |
                     1.CV |    7.22237   1.370118     5.27   0.000     4.536989    9.907751
                 1.Joint1 |   8.725353   3.331602     2.62   0.009     2.195532    15.25517
          Year_since_1945 |  -.1081849   .0674768    -1.60   0.109     -.240437    .0240671
                          |
Country#c.Year_since_1945 |
                   Spain  |  -.2329351   .0946724    -2.46   0.014    -.4184895   -.0473807
                 Finland  |  -.3157568     .07998    -3.95   0.000    -.4725148   -.1589989
                  France  |  -.3275171   .0668953    -4.90   0.000    -.4586294   -.1964048
                  Greece  |  -.2056669   .0613825    -3.35   0.001    -.3259745   -.0853594
                 Ireland  |   -.204467   .0461091    -4.43   0.000    -.2948392   -.1140947
                 Iceland  |  -.1727398    .030937    -5.58   0.000    -.2333753   -.1121043
                   Malta  |  -.0251395   .0450716    -0.56   0.577    -.1134782    .0631992
             Netherlands  |  -.2247261   .0525695    -4.27   0.000    -.3277604   -.1216918
                  Norway  |  -.0354728   .0630634    -0.56   0.574    -.1590749    .0881292
                Portugal  |  -.8812009   .0638595   -13.80   0.000    -1.006363   -.7560387
                  Sweden  |  -.0065998   .0412626    -0.16   0.873     -.087473    .0742733
                Bulgaria  |  -1.255266   .2571592    -4.88   0.000    -1.759289    -.751243
          Czech Republic  |  -1.362148   .3038263    -4.48   0.000    -1.957637   -.7666597
                 Estonia  |  -.2226562   .1881008    -1.18   0.237     -.591327    .1460145
                 Hungary  |  -.3357586   .2606749    -1.29   0.198    -.8466719    .1751548
                  Latvia  |  -1.311385   .1472971    -8.90   0.000    -1.600082   -1.022688
               Lithuania  |  -.9958679   .2195111    -4.54   0.000    -1.426102   -.5656341
                  Poland  |  -.0658328   .2295968    -0.29   0.774    -.5158342    .3841687
                 Romania  |  -1.673139   .2321914    -7.21   0.000    -2.128226   -1.218052
                Slovakia  |  -1.054685    .358146    -2.94   0.003    -1.756638   -.3527313
                Slovenia  |  -.8794015   .2863072    -3.07   0.002    -1.440553   -.3182498
                          |
                  Country |
                   Spain  |   .1094677   5.377322     0.02   0.984    -10.42989    10.64883
                 Finland  |   1.515623   3.397275     0.45   0.656    -5.142914    8.174161
                  France  |   2.650235   2.049591     1.29   0.196    -1.366889    6.667359
                  Greece  |  -3.977202   3.647071    -1.09   0.275    -11.12533    3.170927
                 Ireland  |  -6.209178   2.142308    -2.90   0.004    -10.40803   -2.010331
                 Iceland  |   7.722239   1.214275     6.36   0.000     5.342304    10.10217
                   Malta  |   9.360681   3.202533     2.92   0.003     3.083831    15.63753
             Netherlands  |   5.324463   2.327416     2.29   0.022     .7628122    9.886114
                  Norway  |  -5.452189   2.087063    -2.61   0.009    -9.542757   -1.361621
                Portugal  |   29.42196   3.251124     9.05   0.000     23.04987    35.79404
                  Sweden  |  -2.054055   1.570581    -1.31   0.191    -5.132336    1.024227
                Bulgaria  |   57.74915   14.76741     3.91   0.000     28.80556    86.69274
          Czech Republic  |   65.75893   17.47458     3.76   0.000     31.50938    100.0085
                 Estonia  |  -5.428958   12.18782    -0.45   0.656    -29.31665    18.45873
                 Hungary  |   2.454837    14.7478     0.17   0.868    -26.45031    31.35998
                  Latvia  |   66.41716   9.726307     6.83   0.000     47.35395    85.48037
               Lithuania  |   36.45724   14.25414     2.56   0.011     8.519635    64.39484
                  Poland  |  -27.41633   13.93239    -1.97   0.049    -54.72332   -.1093481
                 Romania  |   73.97443   15.31433     4.83   0.000      43.9589      103.99
                Slovakia  |   49.60436   22.13818     2.24   0.025     6.214325    92.99439
                Slovenia  |    35.8515   16.89873     2.12   0.034       2.7306    68.97241
                          |
              index_n_w_5 |  -2.511206   .5890459    -4.26   0.000    -3.665714   -1.356697
                   GDP_pc |   .0006508   .0001866     3.49   0.000     .0002851    .0010166
                          |
        c.GDP_pc#c.GDP_pc |  -7.00e-09   1.82e-09    -3.85   0.000    -1.06e-08   -3.44e-09
                          |
                    _cons |   81.32121   3.674458    22.13   0.000     74.11941    88.52302
--------------------------+----------------------------------------------------------------
                      rho |   .1264135
-------------------------------------------------------------------------------------------

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

. estadd local country_year_2 "Yes" , replace 

added macro:
     e(country_year_2) : "Yes"

. 
. eststo M2: xtpcse Turnout Majority Closeness i.Elsystem i.CV i.Joint1 c.Year_since_1945  c.Year_since_1945#i.Country i.Country 
> index_n_w_5 rile economic_axis cultural_axis if Rankleg !=.,  correlation(ar1)  // Polarisation

Number of gaps in sample = 8
note: computations for rho restarted at each gap.
note: the number of observations per panel, e(n_sigma) = 1,
      used to compute the disturbance of covariance matrix e(Sigma)
      is less than half of the average number of observations per panel,
      e(n_avg) = 12.954545; you may want to consider the pairwise option.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        285
Time variable:    Rankleg                       Number of groups  =         22
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          2
Sigma computed by casewise selection                          avg =  12.954545
                                                              max =         26
Estimated covariances      =       253          R-squared         =     0.9068
Estimated autocorrelations =         1          Wald chi2(27)     =   6.47e+09
Estimated coefficients     =        54          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |  -.2499497   .0686185    -3.64   0.000    -.3844394     -.11546
                Closeness |   -.091001   .0487793    -1.87   0.062    -.1866067    .0046047
                          |
                 Elsystem |
            Proportional  |   2.493258   5.134885     0.49   0.627    -7.570932    12.55745
                   Mixed  |   5.071177   5.732826     0.88   0.376    -6.164956    16.30731
                          |
                     1.CV |   7.070619   2.237207     3.16   0.002     2.685775    11.45546
                 1.Joint1 |   10.63352   4.085556     2.60   0.009     2.625976    18.64106
          Year_since_1945 |   .0537522   .0132403     4.06   0.000     .0278017    .0797026
                          |
Country#c.Year_since_1945 |
                   Spain  |  -.1821965    .131105    -1.39   0.165    -.4391577    .0747646
                 Finland  |  -.2793852   .0812078    -3.44   0.001    -.4385495   -.1202209
                  France  |  -.3483264    .111831    -3.11   0.002    -.5675111   -.1291416
                  Greece  |  -.1586606    .065893    -2.41   0.016    -.2878086   -.0295126
                 Ireland  |  -.1411944   .0589025    -2.40   0.017    -.2566412   -.0257475
                 Iceland  |  -.1433152   .0135182   -10.60   0.000    -.1698103     -.11682
                   Malta  |  -.3486607   .3192954    -1.09   0.275    -.9744682    .2771468
             Netherlands  |  -.1693819   .0663793    -2.55   0.011    -.2994828   -.0392809
                  Norway  |  -.0679238   .0305378    -2.22   0.026    -.1277767   -.0080709
                Portugal  |  -.8186062   .1081287    -7.57   0.000    -1.030535   -.6066778
                  Sweden  |   .0086393   .0506625     0.17   0.865    -.0906573     .107936
                Bulgaria  |  -1.004015   .1684591    -5.96   0.000    -1.334189   -.6738411
          Czech Republic  |  -1.067529    .080119   -13.32   0.000     -1.22456    -.910499
                 Estonia  |  -.0848459   .1478527    -0.57   0.566    -.3746317      .20494
                 Hungary  |      -.354   .1139882    -3.11   0.002    -.5774127   -.1305872
                  Latvia  |  -.8338981   .0429118   -19.43   0.000    -.9180037   -.7497925
               Lithuania  |  -.8087577   .2186531    -3.70   0.000     -1.23731   -.3802054
                  Poland  |  -.1903801   .0976076    -1.95   0.051    -.3816874    .0009272
                 Romania  |  -1.594893   .2418469    -6.59   0.000    -2.068904   -1.120882
                Slovakia  |  -1.421684   .1672983    -8.50   0.000    -1.749583   -1.093785
                Slovenia  |  -.7495821   .3629337    -2.07   0.039    -1.460919   -.0382452
                          |
                  Country |
                   Spain  |  -5.354463   7.197855    -0.74   0.457      -19.462    8.753073
                 Finland  |  -1.227066   3.466255    -0.35   0.723    -8.020801    5.566669
                  France  |   1.353304   4.461641     0.30   0.762     -7.39135    10.09796
                  Greece  |  -9.675266   4.723948    -2.05   0.041    -18.93403    -.416499
                 Ireland  |  -11.82908   2.473104    -4.78   0.000    -16.67628   -6.981887
                 Iceland  |   6.402292   .6096858    10.50   0.000      5.20733    7.597254
                   Malta  |   21.89752   16.78155     1.30   0.192    -10.99372    54.78876
             Netherlands  |   3.912633   3.198484     1.22   0.221    -2.356281    10.18155
                  Norway  |  -5.551008   1.396603    -3.97   0.000    -8.288299   -2.813716
                Portugal  |   22.17564   5.058329     4.38   0.000      12.2615    32.08978
                  Sweden  |  -3.235733   2.199297    -1.47   0.141    -7.546276    1.074809
                Bulgaria  |   36.64231   9.992934     3.67   0.000     17.05652     56.2281
          Czech Republic  |   45.96306   4.904662     9.37   0.000      36.3501    55.57602
                 Estonia  |  -19.00394   9.209014    -2.06   0.039    -37.05327   -.9545994
                 Hungary  |  -6.545186   6.687701    -0.98   0.328    -19.65284    6.562467
                  Latvia  |   29.87923   2.896907    10.31   0.000      24.2014    35.55706
               Lithuania  |    15.3418   13.25497     1.16   0.247    -10.63746    41.32106
                  Poland  |  -27.71377   5.413507    -5.12   0.000    -38.32405   -17.10349
                 Romania  |    59.6044   15.82057     3.77   0.000     28.59665    90.61216
                Slovakia  |   66.20004   9.297698     7.12   0.000     47.97689    84.42319
                Slovenia  |    25.2437   21.37191     1.18   0.238    -16.64448    67.13188
                          |
              index_n_w_5 |  -3.033051   .6183329    -4.91   0.000    -4.244961   -1.821141
                     rile |  -.0121339   .0399724    -0.30   0.761    -.0904783    .0662105
            economic_axis |  -.0185097   .0296781    -0.62   0.533    -.0766778    .0396584
            cultural_axis |   .0397547   .0441874     0.90   0.368     -.046851    .1263605
                    _cons |   88.27184   4.780223    18.47   0.000     78.90278    97.64091
--------------------------+----------------------------------------------------------------
                      rho |   .1349982
-------------------------------------------------------------------------------------------

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

. estadd local country_year_2 "Yes" , replace 

added macro:
     e(country_year_2) : "Yes"

. eststo M3: xtpcse Turnout Majority Closeness i.Elsystem i.CV i.Joint1 c.Year_since_1945  c.Year_since_1945#i.Country ib4.Countr
> y index_n_w_5  if Rankleg !=. & Year < 1990,  correlation(ar1) pairwise // Year smaller than 1990
note: 0.Joint1 omitted because of collinearity.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        136
Time variable:    Rankleg                       Number of groups  =         12
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          5
Sigma computed by pairwise selection                          avg =  11.333333
                                                              max =         19
Estimated covariances      =        78          R-squared         =     0.8696
Estimated autocorrelations =         1          Wald chi2(25)     =  377738.55
Estimated coefficients     =        29          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |  -.2164677   .0793994    -2.73   0.006    -.3720877   -.0608476
                Closeness |  -.1352766   .0647711    -2.09   0.037    -.2622256   -.0083275
                          |
                 Elsystem |
            Proportional  |   3.879928   2.543394     1.53   0.127    -1.105032    8.864888
                     1.CV |   13.68518    2.28581     5.99   0.000     9.205072    18.16528
                 0.Joint1 |    86.7606   3.339448    25.98   0.000     80.21541     93.3058
          Year_since_1945 |  -.2059483   .0933414    -2.21   0.027     -.388894   -.0230026
                          |
Country#c.Year_since_1945 |
                 Denmark  |   .3477001   .1015502     3.42   0.001     .1486653    .5467348
                   Spain  |   -.222664   .4613031    -0.48   0.629    -1.126801    .6814734
                 Finland  |   .0741837   .1475178     0.50   0.615    -.2149459    .3633133
                  Greece  |   .1694196   .1841856     0.92   0.358    -.1915774    .5304167
                 Ireland  |   .1479999   .0965969     1.53   0.125    -.0413266    .3373264
                 Iceland  |   .2565536   .1018662     2.52   0.012     .0568996    .4562076
                   Malta  |   .4451165   .1020269     4.36   0.000     .2451475    .6450855
             Netherlands  |   .3282396   .1161186     2.83   0.005     .1006514    .5558278
                  Norway  |   .3161768   .1068452     2.96   0.003     .1067642    .5255895
                Portugal  |  -1.151771   .2308846    -4.99   0.000    -1.604297   -.6992456
                  Sweden  |   .4714894   .1051028     4.49   0.000     .2654917    .6774872
                          |
                  Country |
                 Denmark  |  -1.410635   2.213107    -0.64   0.524    -5.748244    2.926975
                   Spain  |   5.105688    17.2478     0.30   0.767    -28.69938    38.91076
                 Finland  |  -2.626371   3.497439    -0.75   0.453    -9.481224    4.228483
                  Greece  |  -18.05149   7.409455    -2.44   0.015    -32.57376   -3.529225
                 Ireland  |  -11.28033   2.428804    -4.64   0.000     -16.0407   -6.519962
                 Iceland  |   4.125467   2.338865     1.76   0.078    -.4586247    8.709558
                   Malta  |  -3.736797   2.958358    -1.26   0.207    -9.535072    2.061478
             Netherlands  |  -5.196885   3.510303    -1.48   0.139    -12.07695    1.683183
                  Norway  |  -6.739691   2.762547    -2.44   0.015    -12.15418   -1.325199
                Portugal  |   44.23479   8.139676     5.43   0.000     28.28132    60.18826
                  Sweden  |  -5.912833   2.703188    -2.19   0.029    -11.21098   -.6146812
                          |
              index_n_w_5 |  -2.453944   .6412227    -3.83   0.000    -3.710718   -1.197171
                    _cons |          0  (omitted)
--------------------------+----------------------------------------------------------------
                      rho |   .1576235
-------------------------------------------------------------------------------------------

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

. estadd local country_year_2 "Yes" , replace

added macro:
     e(country_year_2) : "Yes"

. eststo M4: xtpcse Turnout Majority Closeness i.Elsystem i.CV i.Joint1 c.Year_since_1945  c.Year_since_1945#i.Country ib4.Countr
> y index_n_w_5  if Rankleg !=. & Year > 1989,  correlation(ar1) pairwise  // Year larger than 1980

Number of gaps in sample = 1
note: computations for rho restarted at each gap.
note: 30.Country omitted because of collinearity.
note: at least one disturbance covariance assumed 0, no common time periods
      between panels.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        184
Time variable:    Rankleg                       Number of groups  =         22
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          6
Sigma computed by pairwise selection                          avg =  8.3636364
                                                              max =         12
Estimated covariances      =       253          R-squared         =     0.9339
Estimated autocorrelations =         1          Wald chi2(30)     =    1814.15
Estimated coefficients     =        50          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |  -.1885022   .0854142    -2.21   0.027     -.355911   -.0210935
                Closeness |  -.0035867   .0563686    -0.06   0.949     -.114067    .1068937
                          |
                 Elsystem |
            Proportional  |   27.36901   12.79517     2.14   0.032     2.290928    52.44709
                   Mixed  |   28.29998   14.27224     1.98   0.047      .326891    56.27306
                          |
                     1.CV |   -8.52534   2.755338    -3.09   0.002     -13.9257   -3.124977
                 1.Joint1 |   10.22726   2.868531     3.57   0.000     4.605047    15.84948
          Year_since_1945 |  -.7293554   .0948655    -7.69   0.000    -.9152884   -.5434224
                          |
Country#c.Year_since_1945 |
                 Denmark  |   .8506288   .1404471     6.06   0.000     .5753575      1.1259
                   Spain  |   .5162005    .136308     3.79   0.000     .2490417    .7833593
                 Finland  |   .8736936   .1519763     5.75   0.000     .5758255    1.171562
                  Greece  |  -.3119957   .2002879    -1.56   0.119    -.7045528    .0805614
                 Ireland  |   .7922328   .1718175     4.61   0.000     .4554767    1.128989
                 Iceland  |   .6082024   .1310488     4.64   0.000     .3513515    .8650532
                   Malta  |    .586676   .1041525     5.63   0.000     .3825408    .7908111
             Netherlands  |   .8036966   .1670913     4.81   0.000     .4762036     1.13119
                  Norway  |   .8311223   .1255289     6.62   0.000     .5850902    1.077154
                Portugal  |   .2278417   .1472351     1.55   0.122    -.0607337    .5164172
                  Sweden  |   .9013275   .1699056     5.30   0.000     .5683188    1.234336
                Bulgaria  |  -.3031971     .20674    -1.47   0.142       -.7084    .1020058
          Czech Republic  |  -.2842324    .247328    -1.15   0.250    -.7689863    .2005215
                 Estonia  |   .7899886   .1554192     5.08   0.000     .4853726    1.094605
                 Hungary  |   .5830037   .1685643     3.46   0.001     .2526236    .9133837
                  Latvia  |  -.2848894    .152342    -1.87   0.061    -.5834741    .0136954
               Lithuania  |   .0884898   .3123849     0.28   0.777    -.5237734     .700753
                  Poland  |   1.004997   .1795622     5.60   0.000     .6530621    1.356933
                 Romania  |  -.7632981   .1770347    -4.31   0.000     -1.11028   -.4163165
                Slovakia  |  -.4986454   .2085858    -2.39   0.017     -.907466   -.0898248
                Slovenia  |   .0716379   .1589017     0.45   0.652    -.2398038    .3830796
                          |
                  Country |
                 Denmark  |  -56.79584   11.88262    -4.78   0.000    -80.08533   -33.50634
                   Spain  |  -50.86558    12.6282    -4.03   0.000    -75.61639   -26.11476
                 Finland  |  -75.03029   12.31435    -6.09   0.000    -99.16597   -50.89461
                  Greece  |          0  (omitted)
                 Ireland  |  -73.70204   13.28339    -5.55   0.000    -99.73701   -47.66707
                 Iceland  |   -44.6103   12.32276    -3.62   0.000    -68.76246   -20.45814
                   Malta  |  -36.33765   11.15004    -3.26   0.001    -58.19132   -14.48398
             Netherlands  |  -60.47467   13.49327    -4.48   0.000    -86.92099   -34.02835
                  Norway  |  -65.81833   12.03061    -5.47   0.000     -89.3979   -42.23877
                Portugal  |  -46.10828   11.88548    -3.88   0.000     -69.4034   -22.81316
                  Sweden  |  -63.47245   13.80293    -4.60   0.000    -90.52568   -36.41921
                Bulgaria  |  -11.15091   16.19595    -0.69   0.491    -42.89439    20.59256
          Czech Republic  |  -6.705302   17.10426    -0.39   0.695    -40.22904    26.81843
                 Estonia  |  -76.66135   15.01255    -5.11   0.000    -106.0854   -47.23729
                 Hungary  |  -64.51382   15.77996    -4.09   0.000    -95.44198   -33.58567
                  Latvia  |  -6.583059   14.28184    -0.46   0.645    -34.57496    21.40884
               Lithuania  |  -42.76805   19.69246    -2.17   0.030    -81.36457    -4.17153
                  Poland  |  -101.5409   16.47605    -6.16   0.000    -133.8333    -69.2484
                 Romania  |   4.322868   17.17688     0.25   0.801     -29.3432    37.98894
                Slovakia  |   6.405313   16.50478     0.39   0.698    -25.94345    38.75408
                Slovenia  |  -29.06079   17.07805    -1.70   0.089    -62.53315    4.411562
                          |
              index_n_w_5 |  -2.631045    .928533    -2.83   0.005    -4.450937    -.811154
                    _cons |   113.3805   5.838515    19.42   0.000     101.9372    124.8238
--------------------------+----------------------------------------------------------------
                      rho |  -.1535075
-------------------------------------------------------------------------------------------

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

. estadd local country_year_2 "Yes" , replace

added macro:
     e(country_year_2) : "Yes"

. eststo M5: xtpcse Turnout Majority Closeness i.Elsystem i.CV i.Joint1 c.Year_since_1945  c.Year_since_1945#i.Country  ib4.Count
> ry index_n_w_5  if Rankleg !=. & Rankleg > 5,  correlation(psar1)  pairwise // Consolidated dem.

Number of gaps in sample = 1
note: computations for rho restarted at each gap.
note: 0.Joint1 omitted because of collinearity.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        210
Time variable:    Rankleg                       Number of groups  =         22
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  panel-specific AR(1)                        min =          2
Sigma computed by pairwise selection                          avg =  9.5454545
                                                              max =         23
Estimated covariances      =       253          R-squared         =     0.9938
Estimated autocorrelations =        22          Wald chi2(31)     =  890351.07
Estimated coefficients     =        50          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |  -.1642811    .043428    -3.78   0.000    -.2493984   -.0791639
                Closeness |  -.1229401   .0442175    -2.78   0.005    -.2096048   -.0362754
                          |
                 Elsystem |
            Proportional  |   6.453228   3.572884     1.81   0.071    -.5494957    13.45595
                   Mixed  |   1.327929    4.28653     0.31   0.757    -7.073516    9.729374
                          |
                     1.CV |   6.554952   2.105963     3.11   0.002      2.42734    10.68256
                 0.Joint1 |          0  (omitted)
          Year_since_1945 |  -.3535588    .066579    -5.31   0.000    -.4840512   -.2230664
                          |
Country#c.Year_since_1945 |
                 Denmark  |   .3594303   .0695752     5.17   0.000     .2230655    .4957951
                   Spain  |   .1522866     .08967     1.70   0.089    -.0234633    .3280366
                 Finland  |   .1072679   .1288439     0.83   0.405    -.1452616    .3597974
                  Greece  |   .1173905   .1458551     0.80   0.421    -.1684803    .4032613
                 Ireland  |    .167014   .0845391     1.98   0.048     .0013203    .3327077
                 Iceland  |   .1871996   .0654243     2.86   0.004     .0589703    .3154288
                   Malta  |   .2368732   .0749628     3.16   0.002     .0899489    .3837975
             Netherlands  |   .1852282   .0884744     2.09   0.036     .0118216    .3586347
                  Norway  |   .1982191   .0780265     2.54   0.011       .04529    .3511483
                Portugal  |  -.3108998   .1095707    -2.84   0.005    -.5256544   -.0961453
                  Sweden  |   .3169039   .1029229     3.08   0.002     .1151786    .5186292
                Bulgaria  |  -.0967068   .2679046    -0.36   0.718    -.6217902    .4283766
          Czech Republic  |   .2725735   .0951146     2.87   0.004     .0861524    .4589947
                 Estonia  |   .3231899   .0904166     3.57   0.000     .1459766    .5004031
                 Hungary  |    .883262   .2527918     3.49   0.000     .3877992    1.378725
                  Latvia  |  -.4712766   .1466887    -3.21   0.001    -.7587811   -.1837721
               Lithuania  |  -.0860277    .082334    -1.04   0.296    -.2473994     .075344
                  Poland  |   1.201611   .2200506     5.46   0.000     .7703201    1.632902
                 Romania  |  -.4689288   .4298369    -1.09   0.275    -1.311394     .373536
                Slovakia  |   .6921559   .1534342     4.51   0.000     .3914304    .9928813
                Slovenia  |  -1.052889   .4060564    -2.59   0.010    -1.848745   -.2570328
                          |
                  Country |
                 Denmark  |  -5.636648   4.593778    -1.23   0.220    -14.64029    3.366992
                   Spain  |  -7.645184   5.710212    -1.34   0.181    -18.83699    3.546626
                 Finland  |  -7.009587   7.073823    -0.99   0.322    -20.87403    6.854852
                  Greece  |   -9.19644   9.480097    -0.97   0.332    -27.77709    9.384209
                 Ireland  |  -13.81344   5.117375    -2.70   0.007    -23.84332   -3.783573
                 Iceland  |   2.500687   4.470326     0.56   0.576    -6.260991    11.26236
                   Malta  |    6.04954   4.949079     1.22   0.222    -3.650475    15.74956
             Netherlands  |  -2.279306   5.402813    -0.42   0.673    -12.86863    8.310013
                  Norway  |   -5.81915   4.933981    -1.18   0.238    -15.48957    3.851275
                Portugal  |   7.795156   6.615538     1.18   0.239     -5.17106    20.76137
                  Sweden  |  -4.942863   5.971846    -0.83   0.408    -16.64747    6.761741
                Bulgaria  |   -5.33932   17.81217    -0.30   0.764    -40.25053    29.57189
          Czech Republic  |  -23.47106   6.331114    -3.71   0.000    -35.87982   -11.06231
                 Estonia  |  -25.95136   6.093546    -4.26   0.000    -37.89449   -14.00823
                 Hungary  |  -59.84534   17.80668    -3.36   0.001     -94.7458   -24.94488
                  Latvia  |   24.75674     9.9702     2.48   0.013     5.215505    44.29797
               Lithuania  |  -4.219631   6.532325    -0.65   0.518    -17.02275    8.583491
                  Poland  |  -94.49131   15.01822    -6.29   0.000    -123.9265   -65.05613
                 Romania  |   10.70174   29.91813     0.36   0.721    -47.93671    69.34019
                Slovakia  |  -52.53182   10.09772    -5.20   0.000    -72.32299   -32.74065
                Slovenia  |   66.59542   28.08434     2.37   0.018     11.55112    121.6397
                          |
              index_n_w_5 |  -2.735941   .4556423    -6.00   0.000    -3.628983   -1.842899
                    _cons |   91.08789    2.96195    30.75   0.000     85.28258    96.89321
-------------------------------------------------------------------------------------------
                     rhos =  .3905036  -.676213  .4558062  .2543254  .4873308 ...  .2388209
-------------------------------------------------------------------------------------------

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

. estadd local country_year_2 "Yes" , replace

added macro:
     e(country_year_2) : "Yes"

. eststo M6: xtreg Turnout Majority Closeness i.Elsystem i.CV i.Joint1 c.Year_since_1945  c.Year_since_1945#i.Country  index_n_w_
> 5 if Rankleg !=.,  fe cluster(Country)   // FE & Clustered standard errors

Fixed-effects (within) regression               Number of obs     =        320
Group variable: Country                         Number of groups  =         22

R-squared:                                      Obs per group:
     Within  = 0.7752                                         min =          7
     Between = 0.1747                                         avg =       14.5
     Overall = 0.2738                                         max =         28

                                                F(6,21)           =          .
corr(u_i, Xb) = -0.8843                         Prob > F          =          .

                                            (Std. err. adjusted for 22 clusters in Country)
-------------------------------------------------------------------------------------------
                          |               Robust
                  Turnout | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |  -.2227964   .0581906    -3.83   0.001    -.3438105   -.1017824
                Closeness |  -.0777967   .0723167    -1.08   0.294    -.2281876    .0725941
                          |
                 Elsystem |
            Proportional  |   1.769784   .5662785     3.13   0.005      .592143    2.947424
                   Mixed  |   .2145522   4.409829     0.05   0.962    -8.956189    9.385294
                          |
                     1.CV |   6.816556    2.85306     2.39   0.026     .8832926    12.74982
                 1.Joint1 |   8.789556   1.932172     4.55   0.000     4.771384    12.80773
          Year_since_1945 |   .0596301    .012368     4.82   0.000     .0339095    .0853508
                          |
Country#c.Year_since_1945 |
                   Spain  |  -.1666543   .0166815    -9.99   0.000    -.2013454   -.1319632
                 Finland  |  -.2632968   .0098304   -26.78   0.000    -.2837403   -.2428533
                  France  |  -.3671958   .0169424   -21.67   0.000    -.4024295   -.3319621
                  Greece  |  -.2341698   .0843706    -2.78   0.011     -.409628   -.0587116
                 Ireland  |  -.1593246   .0067175   -23.72   0.000    -.1732945   -.1453547
                 Iceland  |  -.1501349   .0046436   -32.33   0.000    -.1597917   -.1404781
                   Malta  |   .0058468   .0216781     0.27   0.790    -.0392352    .0509288
             Netherlands  |  -.1838121    .049246    -3.73   0.001    -.2862247   -.0813995
                  Norway  |   -.073744   .0110591    -6.67   0.000    -.0967426   -.0507453
                Portugal  |  -.8349497   .0110933   -75.27   0.000    -.8580194     -.81188
                  Sweden  |  -.0001592   .0073306    -0.02   0.983     -.015404    .0150857
                Bulgaria  |  -1.101174   .0823663   -13.37   0.000    -1.272464   -.9298834
          Czech Republic  |  -1.097772   .0242807   -45.21   0.000    -1.148266   -1.047277
                 Estonia  |  -.0571596   .0411079    -1.39   0.179    -.1426481    .0283289
                 Hungary  |  -.1572681   .0705618    -2.23   0.037    -.3040094   -.0105268
                  Latvia  |  -1.100208   .0176136   -62.46   0.000    -1.136838   -1.063579
               Lithuania  |   -.796919    .067168   -11.86   0.000    -.9366024   -.6572356
                  Poland  |   .2311138   .0624746     3.70   0.001     .1011907    .3610369
                 Romania  |  -1.570937   .0766573   -20.49   0.000    -1.730354   -1.411519
                Slovakia  |  -1.238572     .05324   -23.26   0.000     -1.34929   -1.127853
                Slovenia  |  -.7135025    .086379    -8.26   0.000    -.8931373   -.5338676
                          |
              index_n_w_5 |   -3.01003   .5517051    -5.46   0.000    -4.157364   -1.862697
                    _cons |    94.4363   1.376872    68.59   0.000     91.57293    97.29966
--------------------------+----------------------------------------------------------------
                  sigma_u |  27.331362
                  sigma_e |  4.0017814
                      rho |  .97901195   (fraction of variance due to u_i)
-------------------------------------------------------------------------------------------

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

. estadd local country_year_2 "Yes" , replace

added macro:
     e(country_year_2) : "Yes"

. eststo M7: xtreg Turnout Majority Closeness i.Elsystem i.CV i.Joint1 c.Year_since_1945 c.Year_since_1945#c.Year_since_1945 inde
> x_n_w_5 GDP_pc c.GDP_pc#c.GDP_pc if Rankleg !=., re cluster(Country) // RE 

Random-effects GLS regression                   Number of obs     =        297
Group variable: Country                         Number of groups  =         22

R-squared:                                      Obs per group:
     Within  = 0.5393                                         min =          7
     Between = 0.6333                                         avg =       13.5
     Overall = 0.5816                                         max =         27

                                                Wald chi2(10)     =          .
corr(u_i, X) = 0 (assumed)                      Prob > chi2       =          .

                                                      (Std. err. adjusted for 22 clusters in Country)
-----------------------------------------------------------------------------------------------------
                                    |               Robust
                            Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
------------------------------------+----------------------------------------------------------------
                           Majority |  -.1625299   .1091675    -1.49   0.137    -.3764943    .0514346
                          Closeness |  -.0807798   .0857551    -0.94   0.346    -.2488566    .0872971
                                    |
                           Elsystem |
                      Proportional  |   8.902633   1.618807     5.50   0.000     5.729829    12.07544
                             Mixed  |   7.070182    5.32392     1.33   0.184    -3.364509    17.50487
                                    |
                               1.CV |   5.999731   4.166629     1.44   0.150    -2.166712    14.16617
                           1.Joint1 |    16.2549   4.443904     3.66   0.000     7.545006    24.96479
                    Year_since_1945 |   .1011108   .1333035     0.76   0.448    -.1601593    .3623809
                                    |
c.Year_since_1945#c.Year_since_1945 |  -.0064993   .0014379    -4.52   0.000    -.0093176    -.003681
                                    |
                        index_n_w_5 |  -3.398249   .8943393    -3.80   0.000    -5.151121   -1.645376
                             GDP_pc |   .0005155   .0002722     1.89   0.058    -.0000181     .001049
                                    |
                  c.GDP_pc#c.GDP_pc |  -2.26e-09   2.59e-09    -0.87   0.383    -7.33e-09    2.82e-09
                                    |
                              _cons |   72.09481   3.682405    19.58   0.000     64.87743     79.3122
------------------------------------+----------------------------------------------------------------
                            sigma_u |  6.3745754
                            sigma_e |  5.2471539
                                rho |  .59610535   (fraction of variance due to u_i)
-----------------------------------------------------------------------------------------------------

. estadd local fixed "No" , replace 

added macro:
              e(fixed) : "No"

. estadd local country_year_2 "No" , replace

added macro:
     e(country_year_2) : "No"

. estadd scalar r2 =e(r2_o)

added scalar:
                 e(r2) =  .58164236

. eststo M8: reg d.Turnout d.Majority d.Closeness d.Elsystem d.CV d.Joint1 d.index_n_w_5 if Rankleg !=., cluster(Country) // Firs
> t Differenced Model

Linear regression                               Number of obs     =        297
                                                F(6, 21)          =      13.97
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1573
                                                Root MSE          =     4.9495

                               (Std. err. adjusted for 22 clusters in Country)
------------------------------------------------------------------------------
             |               Robust
   D.Turnout | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
    Majority |
         D1. |  -.1920374   .0869011    -2.21   0.038    -.3727582   -.0113166
             |
   Closeness |
         D1. |  -.0732152   .0584679    -1.25   0.224    -.1948058    .0483754
             |
    Elsystem |
         D1. |   2.053093   1.959052     1.05   0.307    -2.020979    6.127164
             |
          CV |
         D1. |   6.751908    6.17627     1.09   0.287    -6.092349    19.59616
             |
      Joint1 |
         D1. |   10.67935   4.097518     2.61   0.016     2.158094     19.2006
             |
 index_n_w_5 |
         D1. |  -2.602082   .4978074    -5.23   0.000    -3.637329   -1.566835
             |
       _cons |  -.9402988   .3131836    -3.00   0.007      -1.5916   -.2889977
------------------------------------------------------------------------------

. estadd local fixed "No" , replace 

added macro:
              e(fixed) : "No"

. estadd local country_year_2 "No" , replace

added macro:
     e(country_year_2) : "No"

. eststo M9: xtpcse Turnout Majority Closeness i.Elsystem i.CV i.Joint1 c.Year_since_1945  c.Year_since_1945#i.Country  ib4.Count
> ry  index_n_w_5  if Rankleg !=. & filter_coverage==0,  correlation(ar1) pairwise  // With filter for pop coverage

Number of gaps in sample = 5
note: computations for rho restarted at each gap.
note: estimates of rho outside [-1,1] bounded to be in the range [-1,1].
note: at least one disturbance covariance assumed 0, no common time periods
      between panels.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        287
Time variable:    Rankleg                       Number of groups  =         22
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          4
Sigma computed by pairwise selection                          avg =  13.045455
                                                              max =         28
Estimated covariances      =       253          R-squared         =     0.9148
Estimated autocorrelations =         1          Wald chi2(35)     =    5286.87
Estimated coefficients     =        51          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |  -.1636828   .0744922    -2.20   0.028    -.3096848   -.0176807
                Closeness |  -.0368614   .0508594    -0.72   0.469    -.1365439    .0628211
                          |
                 Elsystem |
            Proportional  |   6.807404   2.208362     3.08   0.002     2.479094    11.13571
                   Mixed  |    6.34628   2.889465     2.20   0.028     .6830336    12.00953
                          |
                     1.CV |   10.63113   2.547112     4.17   0.000     5.638881    15.62338
                 1.Joint1 |   8.824514   2.822015     3.13   0.002     3.293466    14.35556
          Year_since_1945 |  -.4199702   .0874232    -4.80   0.000    -.5913166   -.2486238
                          |
Country#c.Year_since_1945 |
                 Denmark  |   .4748939   .0877478     5.41   0.000     .3029115    .6468764
                   Spain  |   .2976907   .1120095     2.66   0.008      .078156    .5172253
                 Finland  |   .2242347   .1019002     2.20   0.028      .024514    .4239554
                  Greece  |   .3302068   .1263518     2.61   0.009     .0825619    .5778517
                 Ireland  |   .3172378   .0916284     3.46   0.001     .1376493    .4968263
                 Iceland  |   .3272447    .087302     3.75   0.000     .1561359    .4983536
                   Malta  |   .4785444   .0912525     5.24   0.000     .2996927    .6573961
             Netherlands  |   .3638331   .0997592     3.65   0.000     .1683086    .5593575
                  Norway  |   .4103299   .0937992     4.37   0.000     .2264868    .5941729
                Portugal  |  -.3605198   .1161391    -3.10   0.002    -.5881481   -.1328914
                  Sweden  |   .4789114   .0997006     4.80   0.000     .2835018     .674321
                Bulgaria  |  -.6269231   .2529684    -2.48   0.013    -1.122732   -.1311142
          Czech Republic  |  -.6422852   .2767073    -2.32   0.020    -1.184622   -.0999488
                 Estonia  |   .4399101   .2017762     2.18   0.029      .044436    .8353842
                 Hungary  |   .3535945   .2484059     1.42   0.155    -.1332722    .8404612
                  Latvia  |  -.6527846   .2059087    -3.17   0.002    -1.056358   -.2492109
               Lithuania  |   .2906834   .2275115     1.28   0.201     -.155231    .7365977
                  Poland  |   .7532921   .2276703     3.31   0.001     .3070664    1.199518
                 Romania  |  -1.071711   .2208623    -4.85   0.000    -1.504593   -.6388293
                Slovakia  |  -.7538163    .277909    -2.71   0.007    -1.298508   -.2091247
                Slovenia  |  -.2300905   .2176842    -1.06   0.291    -.6567436    .1965627
                          |
                  Country |
                 Denmark  |  -10.25749    4.35854    -2.35   0.019    -18.80007   -1.714906
                   Spain  |  -15.08091    5.89807    -2.56   0.011    -26.64092   -3.520909
                 Finland  |  -11.78201   5.067916    -2.32   0.020    -21.71494   -1.849073
                  Greece  |  -24.29187    7.56316    -3.21   0.001    -39.11539   -9.468349
                 Ireland  |  -20.42548   4.296203    -4.75   0.000    -28.84589   -12.00508
                 Iceland  |  -3.613091   4.289308    -0.84   0.400    -12.01998    4.793798
                   Malta  |  -6.581479   4.263549    -1.54   0.123    -14.93788    1.774924
             Netherlands  |  -9.637394   5.078524    -1.90   0.058    -19.59112    .3163294
                  Norway  |  -15.87101   4.481434    -3.54   0.000    -24.65446   -7.087561
                Portugal  |   13.16464   5.528107     2.38   0.017      2.32975    23.99953
                  Sweden  |  -12.99667   4.710082    -2.76   0.006    -22.22826   -3.765081
                Bulgaria  |   32.48986   14.71575     2.21   0.027     3.647527     61.3322
          Czech Republic  |   38.54046   15.95611     2.42   0.016     7.267058    69.81387
                 Estonia  |  -32.49641   12.05861    -2.69   0.007    -56.13085   -8.861973
                 Hungary  |  -25.51333   14.72994    -1.73   0.083    -54.38348    3.356815
                  Latvia  |   38.79011   12.24338     3.17   0.002     14.79353    62.78669
               Lithuania  |  -32.66966   13.98516    -2.34   0.019    -60.08007    -5.25925
                  Poland  |   -62.6605   13.49477    -4.64   0.000    -89.10977   -36.21123
                 Romania  |   48.21973   13.75322     3.51   0.000     21.26391    75.17555
                Slovakia  |    45.9775   15.98313     2.88   0.004     14.65115    77.30385
                Slovenia  |   12.76861   13.12908     0.97   0.331    -12.96392    38.50113
                          |
              index_n_w_5 |  -2.961256   .7013092    -4.22   0.000    -4.335796   -1.586715
                    _cons |   92.20715    4.64374    19.86   0.000     83.10558    101.3087
--------------------------+----------------------------------------------------------------
                      rho |   .2088708
-------------------------------------------------------------------------------------------

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

. estadd local country_year_2 "Yes" , replace

added macro:
     e(country_year_2) : "Yes"

. eststo M10: xtpcse Turnout  i.Elsystem i.CV i.Joint1 c.Year_since_1945  c.Year_since_1945#i.Country ib4.Country  index_n_w_5  i
> f Rankleg !=.,  correlation(ar1) pairwise  // No closeness & decisiveness 

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        321
Time variable:    Rankleg                       Number of groups  =         22
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          7
Sigma computed by pairwise selection                          avg =  14.590909
                                                              max =         28
Estimated covariances      =       253          R-squared         =     0.8588
Estimated autocorrelations =         1          Wald chi2(36)     =   13446.13
Estimated coefficients     =        49          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Elsystem |
            Proportional  |   .8342157   2.546441     0.33   0.743    -4.156717    5.825148
                   Mixed  |  -.2851094   3.419385    -0.08   0.934    -6.986981    6.416762
                          |
                     1.CV |   7.611603   2.085844     3.65   0.000     3.523423    11.69978
                 1.Joint1 |   8.424254   2.792442     3.02   0.003     2.951169    13.89734
          Year_since_1945 |  -.3326128   .0559649    -5.94   0.000    -.4423021   -.2229236
                          |
Country#c.Year_since_1945 |
                 Denmark  |   .3669855   .0536114     6.85   0.000      .261909    .4720621
                   Spain  |   .1941067   .0988106     1.96   0.049     .0004414     .387772
                 Finland  |   .1238148   .0824904     1.50   0.133    -.0378633     .285493
                  Greece  |   .1449361   .1041406     1.39   0.164    -.0591757     .349048
                 Ireland  |   .2057071   .0575655     3.57   0.000     .0928808    .3185333
                 Iceland  |   .1239391   .1160285     1.07   0.285    -.1034726    .3513509
                   Malta  |   .3820663   .0711262     5.37   0.000     .2426614    .5214711
             Netherlands  |   .2105726   .0742954     2.83   0.005     .0649563    .3561889
                  Norway  |   .2940072   .0638999     4.60   0.000     .1687657    .4192488
                Portugal  |  -.4414686    .085165    -5.18   0.000    -.6083889   -.2745483
                  Sweden  |   .3602199   .0635321     5.67   0.000     .2356992    .4847405
                Bulgaria  |  -.7636993   .2521678    -3.03   0.002    -1.257939   -.2694594
          Czech Republic  |    -.78551   .2739031    -2.87   0.004     -1.32235   -.2486698
                 Estonia  |   .3689743   .1852517     1.99   0.046     .0058876     .732061
                 Hungary  |   .3617134   .2272337     1.59   0.111    -.0836565    .8070832
                  Latvia  |  -.7274487    .221926    -3.28   0.001    -1.162416   -.2924817
               Lithuania  |  -.5883356   .4097713    -1.44   0.151    -1.391473    .2148014
                  Poland  |   .8070205   .2200785     3.67   0.000     .3756746    1.238366
                 Romania  |  -1.058923   .1819714    -5.82   0.000     -1.41558   -.7022653
                Slovakia  |  -.8188314   .2577578    -3.18   0.001    -1.324027   -.3136354
                Slovenia  |  -.2680508   .2072157    -1.29   0.196    -.6741861    .1380844
                          |
                  Country |
                 Denmark  |  -2.470737   1.715736    -1.44   0.150    -5.833517    .8920431
                   Spain  |  -6.507069   5.104536    -1.27   0.202    -16.51178    3.497637
                 Finland  |   -5.53801   3.286503    -1.69   0.092    -11.97944    .9034182
                  Greece  |  -6.955421   5.909827    -1.18   0.239    -18.53847    4.627627
                 Ireland  |  -11.06624   2.116468    -5.23   0.000    -15.21444   -6.918034
                 Iceland  |   6.200263   4.921552     1.26   0.208    -3.445801    15.84633
                   Malta  |    3.34728   3.204072     1.04   0.296    -2.932584    9.627145
             Netherlands  |   .3297304   3.143108     0.10   0.916    -5.830648    6.490109
                  Norway  |  -7.405138   2.460246    -3.01   0.003    -12.22713   -2.583145
                Portugal  |   21.03079   3.912721     5.37   0.000     13.36199    28.69958
                  Sweden  |  -3.977167   2.383465    -1.67   0.095    -8.648672    .6943375
                Bulgaria  |   42.96778   14.46056     2.97   0.003     14.62561    71.30995
          Czech Republic  |   48.37925   15.77491     3.07   0.002     17.46098    79.29751
                 Estonia  |  -27.29506   10.88726    -2.51   0.012     -48.6337   -5.956424
                 Hungary  |   -22.6523   13.59292    -1.67   0.096    -49.29393    3.989331
                  Latvia  |   43.65268   13.61285     3.21   0.001     16.97199    70.33337
               Lithuania  |   24.88154    24.5831     1.01   0.311    -23.30044    73.06353
                  Poland  |  -63.88298   12.37231    -5.16   0.000    -88.13227   -39.63369
                 Romania  |   50.14655   11.17606     4.49   0.000     28.24188    72.05122
                Slovakia  |   51.31107   15.10281     3.40   0.001      21.7101    80.91204
                Slovenia  |   16.62151   12.05898     1.38   0.168    -7.013657    40.25668
                          |
              index_n_w_5 |  -3.405421   .6356743    -5.36   0.000     -4.65132   -2.159522
                    _cons |   88.29665   2.742803    32.19   0.000     82.92085    93.67244
--------------------------+----------------------------------------------------------------
                      rho |   .1936072
-------------------------------------------------------------------------------------------

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

. estadd local country_year_2 "Yes" , replace

added macro:
     e(country_year_2) : "Yes"

. eststo M11: xtpcse Turnout  i.Elsystem i.CV i.Joint1 c.Year_since_1945  c.Year_since_1945#i.Country ib4.Country i.snap index_n_
> w_5  if Rankleg !=.,  correlation(ar1) pairwise  // Snap

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        321
Time variable:    Rankleg                       Number of groups  =         22
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          7
Sigma computed by pairwise selection                          avg =  14.590909
                                                              max =         28
Estimated covariances      =       253          R-squared         =     0.8588
Estimated autocorrelations =         1          Wald chi2(37)     =   18775.99
Estimated coefficients     =        50          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Elsystem |
            Proportional  |   .7723214   2.577076     0.30   0.764    -4.278654    5.823297
                   Mixed  |  -.3868229    3.37271    -0.11   0.909    -6.997212    6.223566
                          |
                     1.CV |   7.595962   2.097854     3.62   0.000     3.484243    11.70768
                 1.Joint1 |    8.40071   2.788722     3.01   0.003     2.934916     13.8665
          Year_since_1945 |  -.3338774   .0565821    -5.90   0.000    -.4447762   -.2229785
                          |
Country#c.Year_since_1945 |
                 Denmark  |   .3677658   .0538108     6.83   0.000     .2622986    .4732329
                   Spain  |   .1965437    .100415     1.96   0.050    -.0002661    .3933536
                 Finland  |   .1250517    .083035     1.51   0.132    -.0376939    .2877972
                  Greece  |   .1465556    .103141     1.42   0.155     -.055597    .3487081
                 Ireland  |    .206252   .0577453     3.57   0.000     .0930734    .3194307
                 Iceland  |   .1252124    .116432     1.08   0.282      -.10299    .3534149
                   Malta  |   .3842464   .0727988     5.28   0.000     .2415634    .5269294
             Netherlands  |   .2113556   .0740893     2.85   0.004     .0661432    .3565681
                  Norway  |   .2953001   .0644174     4.58   0.000     .1690443    .4215559
                Portugal  |  -.4408049   .0856909    -5.14   0.000     -.608756   -.2728538
                  Sweden  |   .3609539   .0635582     5.68   0.000      .236382    .4855257
                Bulgaria  |  -.7639902   .2523646    -3.03   0.002    -1.258616   -.2693647
          Czech Republic  |  -.7856245   .2742706    -2.86   0.004    -1.323185    -.248064
                 Estonia  |    .369994   .1862144     1.99   0.047     .0050206    .7349674
                 Hungary  |   .3632803   .2276358     1.60   0.111    -.0828776    .8094383
                  Latvia  |  -.7249979   .2234838    -3.24   0.001    -1.163018   -.2869777
               Lithuania  |  -.5867156   .4092809    -1.43   0.152    -1.388891    .2154602
                  Poland  |   .8067727   .2210087     3.65   0.000     .3736035    1.239942
                 Romania  |  -1.059744   .1819216    -5.83   0.000    -1.416304    -.703184
                Slovakia  |  -.8197911   .2569525    -3.19   0.001    -1.323409   -.3161734
                Slovenia  |  -.2672996   .2078847    -1.29   0.199    -.6747461    .1401469
                          |
                  Country |
                 Denmark  |  -2.407858   1.755531    -1.37   0.170    -5.848634    1.032919
                   Spain  |  -6.553991   5.131593    -1.28   0.202    -16.61173    3.503745
                 Finland  |  -5.536803   3.287429    -1.68   0.092    -11.98005    .9064398
                  Greece  |  -6.930884   5.925182    -1.17   0.242    -18.54403     4.68226
                 Ireland  |  -10.98492   2.185449    -5.03   0.000    -15.26832   -6.701515
                 Iceland  |   6.233918   4.928923     1.26   0.206    -3.426594    15.89443
                   Malta  |   3.315805   3.206505     1.03   0.301    -2.968829    9.600439
             Netherlands  |   .3692369   3.168501     0.12   0.907    -5.840911    6.579385
                  Norway  |    -7.4105    2.45614    -3.02   0.003    -12.22445   -2.596555
                Portugal  |   21.08816   3.934532     5.36   0.000     13.37662     28.7997
                  Sweden  |  -3.949216   2.386817    -1.65   0.098    -8.627291    .7288587
                Bulgaria  |    43.0968   14.48117     2.98   0.003     14.71422    71.47937
          Czech Republic  |   48.48231   15.79378     3.07   0.002     17.52708    79.43754
                 Estonia  |  -27.28793   10.88351    -2.51   0.012    -48.61922   -5.956643
                 Hungary  |  -22.63748   13.61037    -1.66   0.096    -49.31332    4.038365
                  Latvia  |   43.59274   13.67242     3.19   0.001     16.79529    70.39019
               Lithuania  |   24.88647   24.59173     1.01   0.312    -23.31243    73.08538
                  Poland  |  -63.79285    12.4342    -5.13   0.000    -88.16343   -39.42227
                 Romania  |    50.2798   11.20403     4.49   0.000      28.3203     72.2393
                Slovakia  |   51.45519   15.04005     3.42   0.001     21.97723    80.93314
                Slovenia  |    16.6504   12.08198     1.38   0.168    -7.029855    40.33065
                          |
                   1.snap |  -.0979729   .6698193    -0.15   0.884    -1.410795    1.214849
              index_n_w_5 |  -3.387053   .6417042    -5.28   0.000     -4.64477   -2.129336
                    _cons |   88.35932   2.784296    31.73   0.000      82.9022    93.81644
--------------------------+----------------------------------------------------------------
                      rho |   .1946527
-------------------------------------------------------------------------------------------

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

. estadd local country_year_2 "Yes" , replace

added macro:
     e(country_year_2) : "Yes"

. 
. 
. esttab M1 M2 M3 M4 M5 M6 M7 M8 M9 M10 M11 using A_Table_3.tex, one incelldelimite("\:")  stats(fixed country_year_2 N r2, label
> s("Country FE" "Country-Specific Time Trend" "N" "R2") layout("\multicolumn{1}{c}{@}" ///
> "\multicolumn{1}{c}{@}" "\multicolumn{1}{c}{$@$}" "\multicolumn{1}{c}{$@$}")   fmt(0 0 2)) replace b(2) se(2) wide staraux ///
>                 star(* 0.05 ** 0.01 *** 0.001) eqlabels(none) order(Majority Closeness 2.Elsystem 3.Elsystem 1.CV 1.Joint1  Yea
> r_since_1945 c.Year_since_1945#c.Year_since_1945  GDP_pc c.GDP_pc#c.GDP_pc rile economic_axis cultural_axis D.Majority /// 
>                 D.Closeness D.Elsystem D.CV D.Joint1 index_n_w_5 D.index_n_w_5 1.snap) ///
>                 drop(*.Country* 1.Elsystem 0.CV 0.Joint1 0.snap) varlabels( 2.Elsystem  "El. System: Proportional" 3.Elsystem "
> El. System: Mixed" ///
>                 Year_since_1945 "Year" c.Year_since_1945#c.Year_since_1945 "Year^2" 1.CV "Compulsory Voting" 1.Joint1 ///
>                 "Concurrent Elections" _cons "Constant" 1.snap "Snap Election" ///
>                 d.Majority "Majority Status(FT)" d.Closeness "Closeness (FD)" d.Elsystem "El. System (FD)" d.CV "Compulsory Vot
> ing (FD)" d.Joint1 "Concurrent Elections (FD)" ///
>                 d.index_n_w_5,  elist(d.CV   \hline ))   label /// 
>                 nodep refcat(Majority "\textit{Controls:}"  index_n_w_5  "\textit{Election Frequency:}", nolabel) ///    
>                   nolegend note("") ///
>                 mtitles("\shortstack{\\GDP p/c}" "\shortstack{\\ Polarisation\\(Manifesto Project)}" "\shortstack{\\Period befo
> re 1990}" ///
>                 "\shortstack{\\Period from 1990}" "\shortstack{\\Consolidated Democracy\\(6th and later dem. el.)}" ///
>                 "\shortstack{\\FE \& clustered SE \\by country}"  "\shortstack{\\RE \& clustered SE \\by country}" ///
>                 "\shortstack{\\FD Model}" "\shortstack{\\Filter for\\extrap. coverage}" "\shortstack{\\No post-treatment\\contr
> ols}" ///
>                 "\shortstack{\\Snap \\ Elections}" ) alignment(d{10})
(output written to A_Table_3.tex)

.                 
.                 
. *** Robustness Checks 2 (Leaving One Country At a Time) 
. 
. ********************* 
. *** Table A4 & A5 *** 
. *********************
. 
. fvset base 4 Country // Settin a common base-line for the following models

. 
. eststo clear

. foreach i  of numlist 1 2 3 4 5 6 7 8 9 10 11 12 21 22 23 24 25 26 27 28 29 30 {
  2. eststo M`i': xtpcse Turnout Majority Closeness ib1.Elsystem i.CV i.Joint1 c.Year  c.Year_since_1945#i.Country i.Country inde
> x_n_w_5 if Rankleg !=. & Country!=`i',  correlation(ar1) 
  3. estadd local fixed "Yes" , replace 
  4. estadd local country_year_2 "Yes" , replace 
  5. estadd local year "Yes" , replace 
  6. }

Number of gaps in sample = 1
note: computations for rho restarted at each gap.
note: 30.Country#c.Year_since_1945 omitted because of collinearity.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        292
Time variable:    Rankleg                       Number of groups  =         21
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          7
Sigma computed by casewise selection                          avg =  13.904762
                                                              max =         23
Estimated covariances      =       231          R-squared         =     0.9039
Estimated autocorrelations =         1          Wald chi2(49)     =   3.42e+07
Estimated coefficients     =        49          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |  -.2373796   .0656188    -3.62   0.000    -.3659901    -.108769
                Closeness |  -.0803785   .0473853    -1.70   0.090    -.1732519    .0124949
                          |
                 Elsystem |
            Proportional  |   2.647534   2.861864     0.93   0.355    -2.961615    8.256684
                   Mixed  |    1.21225   3.744187     0.32   0.746    -6.126221    8.550722
                          |
                     1.CV |   7.082753   1.488193     4.76   0.000      4.16595    9.999557
                 1.Joint1 |    8.59606   3.059864     2.81   0.005     2.598837    14.59328
                     Year |   .0461335   .0015734    29.32   0.000     .0430496    .0492174
                          |
Country#c.Year_since_1945 |
                   Spain  |  -.1568571   .0854701    -1.84   0.066    -.3243754    .0106613
                 Finland  |  -.2402135   .0647667    -3.71   0.000    -.3671539   -.1132731
                  France  |  -.3460209   .0628093    -5.51   0.000    -.4691249   -.2229168
                  Greece  |  -.2111064   .0611325    -3.45   0.001     -.330924   -.0912888
                 Ireland  |  -.1412419   .0361599    -3.91   0.000     -.212114   -.0703697
                 Iceland  |  -.1329233   .0225136    -5.90   0.000    -.1770492   -.0887975
                   Malta  |   .0208506   .0309506     0.67   0.501    -.0398114    .0815126
             Netherlands  |  -.1575758   .0386279    -4.08   0.000    -.2332851   -.0818666
                  Norway  |  -.0535339   .0431673    -1.24   0.215    -.1381403    .0310725
                Portugal  |  -.8312277   .0651347   -12.76   0.000    -.9588893    -.703566
                  Sweden  |   .0183762   .0455528     0.40   0.687    -.0709056     .107658
                Bulgaria  |  -1.084427   .2619186    -4.14   0.000    -1.597778   -.5710763
          Czech Republic  |  -1.090869   .2868392    -3.80   0.000    -1.653064    -.528675
                 Estonia  |  -.0519039    .167825    -0.31   0.757    -.3808349     .277027
                 Hungary  |  -.1377382   .2143199    -0.64   0.520    -.5577974     .282321
                  Latvia  |  -1.116833   .1951512    -5.72   0.000    -1.499323   -.7343442
               Lithuania  |  -.8167507   .3588141    -2.28   0.023    -1.520013    -.113488
                  Poland  |   .2370332    .209139     1.13   0.257    -.1728717    .6469382
                 Romania  |   -1.57952   .2141172    -7.38   0.000    -1.999182   -1.159858
                Slovakia  |  -1.216586   .2629394    -4.63   0.000    -1.731937   -.7012341
                Slovenia  |  -.7095877   .2134183    -3.32   0.001     -1.12788   -.2912955
                          |
                  Country |
                   Spain  |  -7.711112   5.587371    -1.38   0.168    -18.66216    3.239934
                 Finland  |  -3.189527   3.617008    -0.88   0.378    -10.27873    3.899679
                  Greece  |  -8.709397    4.48889    -1.94   0.052    -17.50746     .088667
                 Ireland  |  -12.96467   2.656515    -4.88   0.000    -18.17134   -7.757995
                 Iceland  |   4.373937   2.554324     1.71   0.087    -.6324456    9.380319
                   Malta  |    .037626   3.213985     0.01   0.991    -6.261669    6.336921
             Netherlands  |   1.863068   3.187506     0.58   0.559    -4.384329    8.110466
                  Norway  |  -7.693939   2.825277    -2.72   0.006    -13.23138   -2.156497
                Portugal  |   21.23484    4.04895     5.24   0.000     13.29905    29.17064
                  Sweden  |  -5.075754   3.065339    -1.66   0.098    -11.08371    .9321986
                Bulgaria  |   40.20601   15.27168     2.63   0.008     10.27406    70.13796
          Czech Republic  |   45.93723   16.92386     2.71   0.007     12.76709    79.10738
                 Estonia  |  -22.31955   10.42809    -2.14   0.032    -42.75824   -1.880866
                 Hungary  |  -15.10761   13.26132    -1.14   0.255    -41.09932     10.8841
                  Latvia  |   47.41167   12.37806     3.83   0.000     23.15112    71.67222
               Lithuania  |   18.47598   21.68561     0.85   0.394    -24.02704      60.979
                  Poland  |  -51.37846   12.29155    -4.18   0.000    -75.46945   -27.28746
                 Romania  |   59.57354   13.78068     4.32   0.000     32.56391    86.58317
                Slovakia  |   54.39082   15.86205     3.43   0.001     23.30178    85.47986
                Slovenia  |   22.17273   12.92105     1.72   0.086    -3.152053    47.49752
                          |
              index_n_w_5 |  -2.958952   .6788699    -4.36   0.000    -4.289512   -1.628391
                    _cons |          0  (omitted)
--------------------------+----------------------------------------------------------------
                      rho |   .1657954
-------------------------------------------------------------------------------------------

added macro:
              e(fixed) : "Yes"

added macro:
     e(country_year_2) : "Yes"

added macro:
               e(year) : "Yes"

Number of gaps in sample = 1
note: computations for rho restarted at each gap.
note: 30.Country#c.Year_since_1945 omitted because of collinearity.
note: the number of observations per panel, e(n_sigma) = 7,
      used to compute the disturbance of covariance matrix e(Sigma)
      is less than half of the average number of observations per panel,
      e(n_avg) = 14.52381; you may want to consider the pairwise option.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        305
Time variable:    Rankleg                       Number of groups  =         21
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          7
Sigma computed by casewise selection                          avg =   14.52381
                                                              max =         28
Estimated covariances      =       231          R-squared         =     0.9064
Estimated autocorrelations =         1          Wald chi2(49)     =   2.98e+07
Estimated coefficients     =        49          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |  -.2247971   .0657357    -3.42   0.001    -.3536367   -.0959575
                Closeness |  -.0729181   .0458674    -1.59   0.112    -.1628165    .0169802
                          |
                 Elsystem |
            Proportional  |   3.065419   2.818985     1.09   0.277     -2.45969    8.590529
                   Mixed  |   1.537321   3.746209     0.41   0.682    -5.805114    8.879756
                          |
                     1.CV |   7.232027   1.430017     5.06   0.000     4.429245    10.03481
                 1.Joint1 |   8.339871   3.091443     2.70   0.007     2.280754    14.39899
                     Year |    .045696   .0016209    28.19   0.000      .042519    .0488729
                          |
Country#c.Year_since_1945 |
                 Denmark  |   .0117191   .0310662     0.38   0.706    -.0491695    .0726077
                 Finland  |  -.2345312   .0689878    -3.40   0.001    -.3697448   -.0993176
                  France  |  -.3443276   .0643522    -5.35   0.000    -.4704556   -.2181996
                  Greece  |  -.2125808   .0605576    -3.51   0.000    -.3312715   -.0938901
                 Ireland  |  -.1425553   .0383498    -3.72   0.000    -.2177196    -.067391
                 Iceland  |  -.1334767   .0228248    -5.85   0.000    -.1782125   -.0887409
                   Malta  |   .0183827   .0329274     0.56   0.577    -.0461539    .0829192
             Netherlands  |   -.153939    .037985    -4.05   0.000    -.2283883   -.0794897
                  Norway  |  -.0513982   .0452063    -1.14   0.256     -.140001    .0372045
                Portugal  |  -.8386656   .0696522   -12.04   0.000    -.9751815   -.7021498
                  Sweden  |   .0194302   .0482659     0.40   0.687    -.0751691    .1140296
                Bulgaria  |  -1.103519   .2848547    -3.87   0.000    -1.661824   -.5452141
          Czech Republic  |  -1.106651   .2980544    -3.71   0.000    -1.690827   -.5224755
                 Estonia  |  -.0506779   .1803674    -0.28   0.779    -.4041916    .3028357
                 Hungary  |  -.1224502   .2362146    -0.52   0.604    -.5854222    .3405219
                  Latvia  |  -1.136699   .2127192    -5.34   0.000    -1.553621   -.7197769
               Lithuania  |   -.834499   .3842491    -2.17   0.030    -1.587613   -.0813845
                  Poland  |   .2422878   .2188242     1.11   0.268    -.1865998    .6711754
                 Romania  |   -1.58642   .2251549    -7.05   0.000    -2.027715   -1.145125
                Slovakia  |  -1.224849   .2896555    -4.23   0.000    -1.792563   -.6571345
                Slovenia  |  -.7409723   .2283978    -3.24   0.001    -1.188624   -.2933209
                          |
                  Country |
                 Denmark  |  -2.009098   2.037961    -0.99   0.324    -6.003429    1.985232
                 Finland  |  -3.399195   3.670508    -0.93   0.354    -10.59326    3.794869
                  Greece  |  -8.695921   4.380791    -1.99   0.047    -17.28211   -.1097285
                 Ireland  |    -12.803   2.783246    -4.60   0.000    -18.25806   -7.347938
                 Iceland  |   4.412942   2.625481     1.68   0.093    -.7329055     9.55879
                   Malta  |   .4332588   3.269671     0.13   0.895    -5.975179    6.841696
             Netherlands  |   1.666412   3.192766     0.52   0.602    -4.591295    7.924118
                  Norway  |  -7.669441    2.87426    -2.67   0.008    -13.30289   -2.035996
                Portugal  |   21.69578   4.336742     5.00   0.000     13.19592    30.19564
                  Sweden  |  -4.973365   3.146113    -1.58   0.114    -11.13963    1.192903
                Bulgaria  |   41.45539   16.64726     2.49   0.013     8.827355    74.08342
          Czech Republic  |   47.05879   17.71408     2.66   0.008     12.33983    81.77776
                 Estonia  |  -22.36791   11.19641    -2.00   0.046    -44.31246   -.4233571
                 Hungary  |  -15.69942   14.61124    -1.07   0.283    -44.33693    12.93808
                  Latvia  |   48.68136   13.51345     3.60   0.000     22.19548    75.16723
               Lithuania  |   19.74437   23.28873     0.85   0.397     -25.9007    65.38945
                  Poland  |  -51.72451   12.91734    -4.00   0.000    -77.04203   -26.40698
                 Romania  |   60.04258   14.45882     4.15   0.000     31.70381    88.38134
                Slovakia  |    54.9233   17.45514     3.15   0.002     20.71186    89.13474
                Slovenia  |   23.87451   13.77769     1.73   0.083    -3.129262    50.87828
                          |
              index_n_w_5 |  -2.694416   .5965323    -4.52   0.000    -3.863598   -1.525235
                    _cons |          0  (omitted)
--------------------------+----------------------------------------------------------------
                      rho |   .2482876
-------------------------------------------------------------------------------------------

added macro:
              e(fixed) : "Yes"

added macro:
     e(country_year_2) : "Yes"

added macro:
               e(year) : "Yes"

Number of gaps in sample = 1
note: computations for rho restarted at each gap.
note: 30.Country#c.Year_since_1945 omitted because of collinearity.
note: the number of observations per panel, e(n_sigma) = 7,
      used to compute the disturbance of covariance matrix e(Sigma)
      is less than half of the average number of observations per panel,
      e(n_avg) = 14.285714; you may want to consider the pairwise option.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        300
Time variable:    Rankleg                       Number of groups  =         21
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          7
Sigma computed by casewise selection                          avg =  14.285714
                                                              max =         28
Estimated covariances      =       231          R-squared         =     0.9119
Estimated autocorrelations =         1          Wald chi2(49)     =   3.18e+07
Estimated coefficients     =        49          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |  -.2310325   .0633835    -3.64   0.000     -.355262   -.1068031
                Closeness |  -.0879478   .0460499    -1.91   0.056     -.178204    .0023084
                          |
                 Elsystem |
            Proportional  |   2.704776   2.880473     0.94   0.348    -2.940847    8.350399
                   Mixed  |   1.397415   3.750367     0.37   0.709     -5.95317    8.747999
                          |
                     1.CV |    7.11732   1.506147     4.73   0.000     4.165325    10.06931
                 1.Joint1 |   8.576526   3.064503     2.80   0.005      2.57021    14.58284
                     Year |   .0462092   .0016026    28.83   0.000     .0430682    .0493501
                          |
Country#c.Year_since_1945 |
                 Denmark  |   .0116765   .0306982     0.38   0.704    -.0484908    .0718438
                   Spain  |  -.1572812   .0881251    -1.78   0.074    -.3300032    .0154408
                  France  |  -.3455813   .0638519    -5.41   0.000    -.4707287   -.2204339
                  Greece  |  -.2125168   .0621135    -3.42   0.001     -.334257   -.0907767
                 Ireland  |  -.1421235   .0367742    -3.86   0.000    -.2141997   -.0700473
                 Iceland  |  -.1342128   .0226337    -5.93   0.000    -.1785739   -.0898516
                   Malta  |   .0225683   .0308054     0.73   0.464    -.0378091    .0829458
             Netherlands  |  -.1547714    .039446    -3.92   0.000    -.2320843   -.0774586
                  Norway  |   -.057093   .0434527    -1.31   0.189    -.1422587    .0280727
                Portugal  |  -.8326304    .066004   -12.61   0.000    -.9619958    -.703265
                  Sweden  |   .0147895   .0463089     0.32   0.749    -.0759743    .1055532
                Bulgaria  |  -1.078977   .2637037    -4.09   0.000    -1.595827   -.5621273
          Czech Republic  |   -1.09761   .2954765    -3.71   0.000    -1.676733   -.5184865
                 Estonia  |  -.0561532   .1740608    -0.32   0.747     -.397306    .2849997
                 Hungary  |  -.1242737   .2204539    -0.56   0.573    -.5563554     .307808
                  Latvia  |  -1.120963   .2040653    -5.49   0.000    -1.520923   -.7210019
               Lithuania  |  -.8428962    .369279    -2.28   0.022     -1.56667   -.1191226
                  Poland  |   .2494102   .2131979     1.17   0.242      -.16845    .6672705
                 Romania  |  -1.579095   .2210844    -7.14   0.000    -2.012412   -1.145777
                Slovakia  |  -1.204229   .2685314    -4.48   0.000    -1.730541   -.6779173
                Slovenia  |  -.6952107   .2161367    -3.22   0.001    -1.118831   -.2715905
                          |
                  Country |
                 Denmark  |  -2.128639   1.987713    -1.07   0.284    -6.024485    1.767206
                   Spain  |  -7.797347    5.73792    -1.36   0.174    -19.04346    3.448769
                  Greece  |  -8.758331   4.566035    -1.92   0.055     -17.7076    .1909333
                 Ireland  |  -13.01036   2.694835    -4.83   0.000    -18.29214   -7.728578
                 Iceland  |   4.282626   2.600913     1.65   0.100    -.8150699    9.380323
                   Malta  |  -.2143256   3.204866    -0.07   0.947    -6.495748    6.067097
             Netherlands  |   1.532578   3.226305     0.48   0.635    -4.790864     7.85602
                  Norway  |  -7.702347    2.84679    -2.71   0.007    -13.28195   -2.122741
                Portugal  |   21.24322    4.17964     5.08   0.000     13.05127    29.43516
                  Sweden  |  -5.026136    3.13737    -1.60   0.109    -11.17527    1.122995
                Bulgaria  |   39.84923   15.41589     2.58   0.010     9.634641    70.06382
          Czech Republic  |    46.2233   17.48462     2.64   0.008     11.95408    80.49252
                 Estonia  |  -22.28959   10.82148    -2.06   0.039    -43.49931    -1.07987
                 Hungary  |  -16.12035   13.66637    -1.18   0.238    -42.90595    10.66524
                  Latvia  |   47.44327   12.93685     3.67   0.000     22.08751    72.79903
               Lithuania  |   19.82643    22.3519     0.89   0.375    -23.98249    63.63536
                  Poland  |  -52.17555   12.53423    -4.16   0.000    -76.74219    -27.6089
                 Romania  |   59.58809   14.19302     4.20   0.000     31.77029     87.4059
                Slovakia  |   53.64821   16.24879     3.30   0.001     21.80116    85.49526
                Slovenia  |   21.25838   13.08084     1.63   0.104    -4.379587    46.89635
                          |
              index_n_w_5 |  -3.096017   .6299337    -4.91   0.000    -4.330664   -1.861369
                    _cons |          0  (omitted)
--------------------------+----------------------------------------------------------------
                      rho |   .1926944
-------------------------------------------------------------------------------------------

added macro:
              e(fixed) : "Yes"

added macro:
     e(country_year_2) : "Yes"

added macro:
               e(year) : "Yes"

Number of gaps in sample = 1
note: computations for rho restarted at each gap.
note: 1b.Elsystem identifies no observations in the sample.
note: 3.Elsystem omitted because of collinearity.
note: 30.Country#c.Year_since_1945 omitted because of collinearity.
note: the number of observations per panel, e(n_sigma) = 7,
      used to compute the disturbance of covariance matrix e(Sigma)
      is less than half of the average number of observations per panel,
      e(n_avg) = 14.285714; you may want to consider the pairwise option.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        300
Time variable:    Rankleg                       Number of groups  =         21
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          7
Sigma computed by casewise selection                          avg =  14.285714
                                                              max =         28
Estimated covariances      =       231          R-squared         =     0.9067
Estimated autocorrelations =         1          Wald chi2(48)     =   2.61e+07
Estimated coefficients     =        48          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |  -.2244688   .0747505    -3.00   0.003    -.3709772   -.0779604
                Closeness |  -.0625799   .0478633    -1.31   0.191    -.1563902    .0312304
                          |
                 Elsystem |
            Majoritarian  |          0  (empty)
            Proportional  |   1.626101    2.53101     0.64   0.521    -3.334587    6.586789
                   Mixed  |          0  (omitted)
                          |
                     1.CV |    7.21653   1.435899     5.03   0.000      4.40222    10.03084
                 1.Joint1 |   8.380474   3.055449     2.74   0.006     2.391903    14.36904
                     Year |   .0452716   .0017703    25.57   0.000     .0418018    .0487414
                          |
Country#c.Year_since_1945 |
                 Denmark  |   .0140888    .031008     0.45   0.650    -.0466858    .0748634
                   Spain  |  -.1624923   .0944608    -1.72   0.085    -.3476322    .0226475
                 Finland  |  -.2355718   .0668692    -3.52   0.000    -.3666331   -.1045105
                  Greece  |  -.2105312   .0603943    -3.49   0.000    -.3289018   -.0921606
                 Ireland  |  -.1419457   .0382634    -3.71   0.000    -.2169406   -.0669509
                 Iceland  |  -.1324495   .0228773    -5.79   0.000    -.1772882   -.0876109
                   Malta  |    .016697   .0338801     0.49   0.622    -.0497067    .0831007
             Netherlands  |  -.1565674    .037702    -4.15   0.000    -.2304619   -.0826729
                  Norway  |  -.0483282   .0441689    -1.09   0.274    -.1348977    .0382413
                Portugal  |  -.8357202   .0686776   -12.17   0.000    -.9703259   -.7011146
                  Sweden  |   .0223357   .0472931     0.47   0.637    -.0703571    .1150285
                Bulgaria  |  -1.107907   .2812962    -3.94   0.000    -1.659237   -.5565765
          Czech Republic  |  -1.099994    .292366    -3.76   0.000    -1.673021   -.5269669
                 Estonia  |  -.0447472   .1763024    -0.25   0.800    -.3902936    .3007992
                 Hungary  |  -.1334699    .230329    -0.58   0.562    -.5849064    .3179666
                  Latvia  |  -1.130283   .2048168    -5.52   0.000    -1.531716    -.728849
               Lithuania  |  -.8121873   .3752958    -2.16   0.030    -1.547754   -.0766211
                  Poland  |   .2361809   .2170949     1.09   0.277    -.1893173    .6616792
                 Romania  |  -1.580748   .2148071    -7.36   0.000    -2.001762   -1.159734
                Slovakia  |  -1.234686   .2859666    -4.32   0.000     -1.79517   -.6742015
                Slovenia  |  -.7486015   .2199092    -3.40   0.001    -1.179616   -.3175873
                          |
                  Country |
                 Denmark  |          0  (omitted)
                   Spain  |  -5.262958   5.407115    -0.97   0.330    -15.86071    5.334793
                 Finland  |  -1.170737   3.373877    -0.35   0.729    -7.783415    5.441941
                  Greece  |  -6.650345   3.807484    -1.75   0.081    -14.11288    .8121875
                 Ireland  |  -10.73022   1.719315    -6.24   0.000    -14.10002   -7.360424
                 Iceland  |   6.486938   1.643072     3.95   0.000     3.266575      9.7073
                   Malta  |   2.748677   2.848953     0.96   0.335    -2.835169    8.332523
             Netherlands  |   3.941056   2.426156     1.62   0.104    -.8141224    8.696234
                  Norway  |  -5.685526    2.10833    -2.70   0.007    -9.817778   -1.553274
                Portugal  |   23.62605   3.640194     6.49   0.000      16.4914     30.7607
                  Sweden  |  -3.025839   1.912177    -1.58   0.114    -6.773637    .7219588
                Bulgaria  |   43.73781   16.28882     2.69   0.007     11.81231    75.66331
          Czech Republic  |   48.71537   16.86059     2.89   0.004     15.66922    81.76153
                 Estonia  |  -20.56437   10.98797    -1.87   0.061    -42.10039    .9716446
                 Hungary  |  -12.87115   14.10128    -0.91   0.361    -40.50915    14.76684
                  Latvia  |   50.42328   12.38877     4.07   0.000     26.14173    74.70483
               Lithuania  |   20.53451   22.43582     0.92   0.360    -23.43889    64.50791
                  Poland  |  -49.31016    13.1314    -3.76   0.000    -75.04723   -23.57309
                 Romania  |   61.63697   13.70472     4.50   0.000      34.7762    88.49774
                Slovakia  |   57.46799   16.56891     3.47   0.001     24.99353    89.94245
                Slovenia  |   26.36893   13.50396     1.95   0.051    -.0983516    52.83621
                          |
              index_n_w_5 |  -2.608331    .741438    -3.52   0.000    -4.061522   -1.155139
                    _cons |          0  (omitted)
--------------------------+----------------------------------------------------------------
                      rho |    .219899
-------------------------------------------------------------------------------------------

added macro:
              e(fixed) : "Yes"

added macro:
     e(country_year_2) : "Yes"

added macro:
               e(year) : "Yes"

Number of gaps in sample = 1
note: computations for rho restarted at each gap.
note: 30.Country#c.Year_since_1945 omitted because of collinearity.
note: the number of observations per panel, e(n_sigma) = 7,
      used to compute the disturbance of covariance matrix e(Sigma)
      is less than half of the average number of observations per panel,
      e(n_avg) = 14.380952; you may want to consider the pairwise option.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        302
Time variable:    Rankleg                       Number of groups  =         21
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          7
Sigma computed by casewise selection                          avg =  14.380952
                                                              max =         28
Estimated covariances      =       231          R-squared         =     0.9066
Estimated autocorrelations =         1          Wald chi2(49)     =   2.91e+07
Estimated coefficients     =        49          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |  -.2107862   .0698102    -3.02   0.003    -.3476117   -.0739608
                Closeness |  -.0709406   .0487522    -1.46   0.146    -.1664932    .0246119
                          |
                 Elsystem |
            Proportional  |   2.561832   2.827737     0.91   0.365    -2.980431    8.104094
                   Mixed  |   4.876592   4.575776     1.07   0.287    -4.091765    13.84495
                          |
                     1.CV |   10.93326   1.698098     6.44   0.000     7.605052    14.26147
                 1.Joint1 |   9.679439     3.2226     3.00   0.003     3.363258    15.99562
                     Year |   .0459292   .0015662    29.33   0.000     .0428595    .0489988
                          |
Country#c.Year_since_1945 |
                 Denmark  |    .010864   .0303976     0.36   0.721    -.0487142    .0704421
                   Spain  |  -.1611792   .0888214    -1.81   0.070    -.3352659    .0129075
                 Finland  |  -.2401965    .065702    -3.66   0.000      -.36897    -.111423
                  France  |  -.3489606   .0624121    -5.59   0.000    -.4712861    -.226635
                 Ireland  |  -.1449781   .0370335    -3.91   0.000    -.2175623   -.0723939
                 Iceland  |  -.1358653   .0226953    -5.99   0.000    -.1803472   -.0913833
                   Malta  |   .0183131   .0316759     0.58   0.563    -.0437705    .0803966
             Netherlands  |  -.0927197   .0380959    -2.43   0.015    -.1673863   -.0180531
                  Norway  |  -.0561942   .0434693    -1.29   0.196    -.1413925    .0290041
                Portugal  |  -.8322729   .0661908   -12.57   0.000    -.9620044   -.7025414
                  Sweden  |   .0150176     .04628     0.32   0.746    -.0756896    .1057248
                Bulgaria  |  -1.035277    .252863    -4.09   0.000     -1.53088    -.539675
          Czech Republic  |  -1.103161   .2902753    -3.80   0.000     -1.67209   -.5342318
                 Estonia  |  -.0206609   .1764544    -0.12   0.907    -.3665053    .3251834
                 Hungary  |  -.1213741   .2209027    -0.55   0.583    -.5543354    .3115872
                  Latvia  |  -1.121314   .2028594    -5.53   0.000    -1.518911   -.7237171
               Lithuania  |   -.834521   .3691645    -2.26   0.024     -1.55807   -.1109718
                  Poland  |   .2564572   .2106014     1.22   0.223    -.1563139    .6692283
                 Romania  |   -1.59407    .222287    -7.17   0.000    -2.029744   -1.158395
                Slovakia  |  -1.218959    .269251    -4.53   0.000    -1.746682    -.691237
                Slovenia  |  -.6846767   .2162626    -3.17   0.002    -1.108544   -.2608099
                          |
                  Country |
                 Denmark  |  -2.061517   1.935336    -1.07   0.287    -5.854706    1.731672
                   Spain  |  -7.469027   5.778223    -1.29   0.196    -18.79414    3.856081
                 Finland  |  -3.435674   3.605085    -0.95   0.341    -10.50151    3.630161
                 Ireland  |  -12.68425   2.686993    -4.72   0.000    -17.95066    -7.41784
                 Iceland  |    4.44458   2.535272     1.75   0.080    -.5244611    9.413621
                   Malta  |   .5261114   3.243336     0.16   0.871    -5.830711    6.882934
             Netherlands  |  -1.881989   3.002139    -0.63   0.531    -7.766073    4.002095
                  Norway  |  -7.596836   2.819138    -2.69   0.007    -13.12224   -2.071428
                Portugal  |   21.37806   4.116562     5.19   0.000     13.30975    29.44637
                  Sweden  |  -4.884555   3.058991    -1.60   0.110    -10.88007    1.110958
                Bulgaria  |   36.90849   14.79029     2.50   0.013     7.920059    65.89691
          Czech Republic  |   46.56175   17.12865     2.72   0.007     12.99022    80.13328
                 Estonia  |  -24.56193    10.9996    -2.23   0.026    -46.12074   -3.003106
                 Hungary  |   -19.7311   13.96883    -1.41   0.158    -47.10951    7.647304
                  Latvia  |   47.43043   12.81159     3.70   0.000     22.32017    72.54069
               Lithuania  |   15.61763      22.65     0.69   0.490    -28.77555    60.01082
                  Poland  |  -52.63329   12.39668    -4.25   0.000    -76.93034   -28.33625
                 Romania  |   58.71483   14.10811     4.16   0.000     31.06344    86.36621
                Slovakia  |   54.37424   16.21217     3.35   0.001     22.59897    86.14951
                Slovenia  |   20.28354   13.10248     1.55   0.122    -5.396854    45.96393
                          |
              index_n_w_5 |  -2.899922   .6118987    -4.74   0.000    -4.099221   -1.700623
                    _cons |          0  (omitted)
--------------------------+----------------------------------------------------------------
                      rho |   .1881458
-------------------------------------------------------------------------------------------

added macro:
              e(fixed) : "Yes"

added macro:
     e(country_year_2) : "Yes"

added macro:
               e(year) : "Yes"

Number of gaps in sample = 1
note: computations for rho restarted at each gap.
note: 30.Country#c.Year_since_1945 omitted because of collinearity.
note: the number of observations per panel, e(n_sigma) = 7,
      used to compute the disturbance of covariance matrix e(Sigma)
      is less than half of the average number of observations per panel,
      e(n_avg) = 14.285714; you may want to consider the pairwise option.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        300
Time variable:    Rankleg                       Number of groups  =         21
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          7
Sigma computed by casewise selection                          avg =  14.285714
                                                              max =         28
Estimated covariances      =       231          R-squared         =     0.9068
Estimated autocorrelations =         1          Wald chi2(49)     =   3.07e+07
Estimated coefficients     =        49          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |   -.211814   .0647647    -3.27   0.001    -.3387504   -.0848775
                Closeness |   -.068783   .0456026    -1.51   0.131    -.1581624    .0205964
                          |
                 Elsystem |
            Proportional  |    2.57327   2.848216     0.90   0.366    -3.009131    8.155671
                   Mixed  |   1.163546   3.713559     0.31   0.754    -6.114897    8.441988
                          |
                     1.CV |   7.193953   1.488639     4.83   0.000     4.276274    10.11163
                 1.Joint1 |   8.547449     3.0427     2.81   0.005     2.583867    14.51103
                     Year |   .0459814    .001581    29.08   0.000     .0428828    .0490801
                          |
Country#c.Year_since_1945 |
                 Denmark  |   .0116863   .0304417     0.38   0.701    -.0479785     .071351
                   Spain  |  -.1607954   .0886091    -1.81   0.070     -.334466    .0128752
                 Finland  |  -.2401199   .0660302    -3.64   0.000    -.3695368   -.1107031
                  France  |  -.3486717   .0630425    -5.53   0.000    -.4722327   -.2251108
                  Greece  |  -.2114272   .0613189    -3.45   0.001    -.3316101   -.0912444
                 Iceland  |  -.1351343   .0225781    -5.99   0.000    -.1793866    -.090882
                   Malta  |   .0186856   .0318241     0.59   0.557    -.0436885    .0810596
             Netherlands  |  -.1568411   .0386674    -4.06   0.000    -.2326278   -.0810545
                  Norway  |  -.0551048   .0432033    -1.28   0.202    -.1397817    .0295721
                Portugal  |  -.8312361   .0662935   -12.54   0.000     -.961169   -.7013032
                  Sweden  |   .0157552   .0460965     0.34   0.733    -.0745924    .1061027
                Bulgaria  |  -1.092065   .2670671    -4.09   0.000    -1.615507   -.5686235
          Czech Republic  |  -1.099379   .2895526    -3.80   0.000    -1.666891    -.531866
                 Estonia  |  -.0470567   .1735867    -0.27   0.786    -.3872803     .293167
                 Hungary  |  -.1247258   .2206615    -0.57   0.572    -.5572144    .3077628
                  Latvia  |  -1.119718   .2031605    -5.51   0.000    -1.517905   -.7215304
               Lithuania  |  -.8353053   .3705968    -2.25   0.024    -1.561662    -.108949
                  Poland  |   .2565842   .2132699     1.20   0.229    -.1614172    .6745856
                 Romania  |  -1.565193    .213556    -7.33   0.000    -1.983755   -1.146631
                Slovakia  |  -1.214837    .270094    -4.50   0.000    -1.744212   -.6854629
                Slovenia  |  -.7063085   .2147562    -3.29   0.001    -1.127223   -.2853941
                          |
                  Country |
                 Denmark  |  -2.167635   1.939944    -1.12   0.264    -5.969855    1.634586
                   Spain  |  -7.544244   5.768507    -1.31   0.191    -18.85031    3.761822
                 Finland  |  -3.495259   3.619121    -0.97   0.334    -10.58861    3.598088
                  Greece  |  -8.696539   4.497085    -1.93   0.053    -17.51066    .1175855
                 Iceland  |   4.329156   2.559351     1.69   0.091    -.6870792    9.345391
                   Malta  |   .3997678   3.234785     0.12   0.902    -5.940293    6.739829
             Netherlands  |   1.609437   3.176944     0.51   0.612    -4.617258    7.836133
                  Norway  |  -7.764255   2.816999    -2.76   0.006    -13.28547   -2.243038
                Portugal  |   21.25274   4.145133     5.13   0.000     13.12842    29.37705
                  Sweden  |  -5.046746   3.060939    -1.65   0.099    -11.04608    .9525842
                Bulgaria  |   40.59653   15.59445     2.60   0.009     10.03197    71.16109
          Czech Republic  |    46.2678   17.12424     2.70   0.007      12.7049     79.8307
                 Estonia  |  -22.87207   10.80659    -2.12   0.034    -44.05259   -1.691551
                 Hungary  |  -15.90935   13.65183    -1.17   0.244    -42.66646    10.84775
                  Latvia  |   47.27796   12.86559     3.67   0.000     22.06188    72.49405
               Lithuania  |   19.35238   22.40999     0.86   0.388     -24.5704    63.27515
                  Poland  |  -52.67327   12.56091    -4.19   0.000     -77.2922   -28.05435
                 Romania  |   58.58479     13.779     4.25   0.000     31.57845    85.59112
                Slovakia  |   54.07795   16.28193     3.32   0.001     22.16596    85.98994
                Slovenia  |   21.75719   12.99759     1.67   0.094     -3.71763    47.23201
                          |
              index_n_w_5 |   -2.97616   .6190977    -4.81   0.000    -4.189569   -1.762751
                    _cons |          0  (omitted)
--------------------------+----------------------------------------------------------------
                      rho |    .191398
-------------------------------------------------------------------------------------------

added macro:
              e(fixed) : "Yes"

added macro:
     e(country_year_2) : "Yes"

added macro:
               e(year) : "Yes"
note: 30.Country#c.Year_since_1945 omitted because of collinearity.
note: the number of observations per panel, e(n_sigma) = 7,
      used to compute the disturbance of covariance matrix e(Sigma)
      is less than half of the average number of observations per panel,
      e(n_avg) = 14.142857; you may want to consider the pairwise option.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        297
Time variable:    Rankleg                       Number of groups  =         21
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          7
Sigma computed by casewise selection                          avg =  14.142857
                                                              max =         28
Estimated covariances      =       231          R-squared         =     0.8998
Estimated autocorrelations =         1          Wald chi2(49)     =   2.93e+07
Estimated coefficients     =        49          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |  -.2285234   .0656947    -3.48   0.001    -.3572826   -.0997641
                Closeness |  -.0764529   .0465403    -1.64   0.100    -.1676703    .0147645
                          |
                 Elsystem |
            Proportional  |   2.768895   2.860789     0.97   0.333     -2.83815    8.375939
                   Mixed  |    1.34105   3.739138     0.36   0.720    -5.987525    8.669625
                          |
                     1.CV |   7.165492   1.480034     4.84   0.000     4.264678    10.06631
                 1.Joint1 |   8.521694   3.060178     2.78   0.005     2.523856    14.51953
                     Year |   .0460028   .0015987    28.77   0.000     .0428693    .0491362
                          |
Country#c.Year_since_1945 |
                 Denmark  |   .0128834   .0308424     0.42   0.676    -.0475666    .0733334
                   Spain  |  -.1593408   .0900712    -1.77   0.077     -.335877    .0171955
                 Finland  |  -.2383378   .0665989    -3.58   0.000    -.3688693   -.1078064
                  France  |  -.3458963   .0637451    -5.43   0.000    -.4708344   -.2209582
                  Greece  |  -.2107251   .0613755    -3.43   0.001    -.3310188   -.0904314
                 Ireland  |  -.1418945   .0372195    -3.81   0.000    -.2148434   -.0689456
                   Malta  |   .0200499   .0317521     0.63   0.528    -.0421831    .0822828
             Netherlands  |  -.1554428   .0385774    -4.03   0.000     -.231053   -.0798326
                  Norway  |   -.053298   .0437905    -1.22   0.224    -.1391258    .0325298
                Portugal  |  -.8333979   .0670064   -12.44   0.000     -.964728   -.7020678
                  Sweden  |   .0179826   .0465758     0.39   0.699    -.0733043    .1092695
                Bulgaria  |  -1.089233   .2707295    -4.02   0.000    -1.619853   -.5586129
          Czech Republic  |  -1.097052    .292459    -3.75   0.000    -1.670261   -.5238425
                 Estonia  |  -.0512817    .173712    -0.30   0.768     -.391751    .2891877
                 Hungary  |  -.1299239   .2240403    -0.58   0.562    -.5690349     .309187
                  Latvia  |  -1.123746   .2030954    -5.53   0.000    -1.521806   -.7256866
               Lithuania  |  -.8296209   .3709539    -2.24   0.025    -1.556677   -.1025646
                  Poland  |   .2437178   .2126714     1.15   0.252    -.1731106    .6605461
                 Romania  |  -1.578133   .2170329    -7.27   0.000     -2.00351   -1.152757
                Slovakia  |  -1.215802   .2731654    -4.45   0.000    -1.751196   -.6804074
                Slovenia  |  -.7137472   .2180413    -3.27   0.001      -1.1411    -.286394
                          |
                  Country |
                 Denmark  |  -2.115569   1.979941    -1.07   0.285    -5.996181    1.765043
                   Spain  |  -7.608308   5.843671    -1.30   0.193    -19.06169    3.845077
                 Finland  |  -3.367208   3.638078    -0.93   0.355    -10.49771    3.763294
                  Greece  |  -8.794661   4.481744    -1.96   0.050    -17.57872   -.0106054
                 Ireland  |   -12.9382   2.712068    -4.77   0.000    -18.25375    -7.62264
                   Malta  |   .1479078   3.251498     0.05   0.964    -6.224912    6.520728
             Netherlands  |   1.675422   3.197607     0.52   0.600    -4.591774    7.942617
                  Norway  |  -7.752947   2.845808    -2.72   0.006    -13.33063   -2.175266
                Portugal  |   21.34176   4.184242     5.10   0.000     13.14079    29.54272
                  Sweden  |  -5.083848   3.107298    -1.64   0.102    -11.17404    1.006344
                Bulgaria  |   40.49574    15.7946     2.56   0.010     9.538888    71.45259
          Czech Republic  |     46.293   17.29486     2.68   0.007      12.3957    80.19029
                 Estonia  |  -22.44797   10.79618    -2.08   0.038     -43.6081   -1.287842
                 Hungary  |  -15.55447   13.86275    -1.12   0.262    -42.72496    11.61602
                  Latvia  |   47.74905   12.86626     3.71   0.000     22.53165    72.96645
               Lithuania  |   19.21492   22.44682     0.86   0.392    -24.78003    63.20988
                  Poland  |  -51.82759   12.51315    -4.14   0.000    -76.35291   -27.30226
                 Romania  |   59.46285   13.97194     4.26   0.000     32.07835    86.84735
                Slovakia  |   54.30349   16.48207     3.29   0.001     21.99922    86.60775
                Slovenia  |    22.3194   13.18448     1.69   0.090    -3.521707     48.1605
                          |
              index_n_w_5 |  -2.924098   .6183283    -4.73   0.000    -4.135999   -1.712197
                    _cons |          0  (omitted)
--------------------------+----------------------------------------------------------------
                      rho |   .2016672
-------------------------------------------------------------------------------------------

added macro:
              e(fixed) : "Yes"

added macro:
     e(country_year_2) : "Yes"

added macro:
               e(year) : "Yes"

Number of gaps in sample = 1
note: computations for rho restarted at each gap.
note: 30.Country#c.Year_since_1945 omitted because of collinearity.
note: the number of observations per panel, e(n_sigma) = 7,
      used to compute the disturbance of covariance matrix e(Sigma)
      is less than half of the average number of observations per panel,
      e(n_avg) = 14.666667; you may want to consider the pairwise option.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        308
Time variable:    Rankleg                       Number of groups  =         21
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          7
Sigma computed by casewise selection                          avg =  14.666667
                                                              max =         28
Estimated covariances      =       231          R-squared         =     0.8983
Estimated autocorrelations =         1          Wald chi2(49)     =   2.52e+07
Estimated coefficients     =        49          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |  -.2177745   .0639364    -3.41   0.001    -.3430875   -.0924616
                Closeness |  -.0778435   .0462893    -1.68   0.093    -.1685689     .012882
                          |
                 Elsystem |
            Proportional  |   2.709362   2.833502     0.96   0.339    -2.844199    8.262923
                   Mixed  |   1.309502   3.723622     0.35   0.725    -5.988663    8.607666
                          |
                     1.CV |   7.167723    1.48027     4.84   0.000     4.266447      10.069
                 1.Joint1 |   8.477695   3.062793     2.77   0.006     2.474731    14.48066
                     Year |   .0459727   .0015885    28.94   0.000     .0428594     .049086
                          |
Country#c.Year_since_1945 |
                 Denmark  |   .0106878   .0305067     0.35   0.726    -.0491042    .0704799
                   Spain  |  -.1605659   .0908752    -1.77   0.077     -.338678    .0175463
                 Finland  |   -.238816   .0669119    -3.57   0.000     -.369961    -.107671
                  France  |  -.3470782   .0632628    -5.49   0.000     -.471071   -.2230853
                  Greece  |  -.2143417   .0609765    -3.52   0.000    -.3338533     -.09483
                 Ireland  |  -.1440041    .037196    -3.87   0.000     -.216907   -.0711013
                 Iceland  |  -.1352785   .0226133    -5.98   0.000    -.1795998   -.0909571
             Netherlands  |  -.1559715   .0385282    -4.05   0.000    -.2314855   -.0804576
                  Norway  |  -.0563291   .0438298    -1.29   0.199     -.142234    .0295758
                Portugal  |  -.8340442   .0669258   -12.46   0.000    -.9652163   -.7028721
                  Sweden  |    .015011    .046744     0.32   0.748    -.0766056    .1066275
                Bulgaria  |  -1.092592   .2698388    -4.05   0.000    -1.621466   -.5637172
          Czech Republic  |  -1.104123   .2941029    -3.75   0.000    -1.680554   -.5276922
                 Estonia  |  -.0513248   .1760345    -0.29   0.771    -.3963462    .2936965
                 Hungary  |  -.1192562   .2256448    -0.53   0.597    -.5615119    .3229996
                  Latvia  |  -1.125454   .2069041    -5.44   0.000    -1.530978    -.719929
               Lithuania  |  -.8423043    .374046    -2.25   0.024    -1.575421   -.1091877
                  Poland  |   .2542044   .2136153     1.19   0.234    -.1644738    .6728826
                 Romania  |  -1.575424   .2191788    -7.19   0.000    -2.005006   -1.145841
                Slovakia  |  -1.213933   .2735779    -4.44   0.000    -1.750136   -.6777305
                Slovenia  |  -.7128177   .2179168    -3.27   0.001    -1.139927   -.2857086
                          |
                  Country |
                 Denmark  |  -2.068814   1.969844    -1.05   0.294    -5.929637    1.792008
                   Spain  |  -7.548042   5.892547    -1.28   0.200    -19.09722    4.001137
                 Finland  |  -3.496844   3.634258    -0.96   0.336    -10.61986    3.626171
                  Greece  |  -8.562373   4.448138    -1.92   0.054    -17.28056    .1558177
                 Ireland  |  -12.79428   2.703767    -4.73   0.000    -18.09357   -7.494992
                 Iceland  |   4.386138   2.574562     1.70   0.088    -.6599098    9.432186
             Netherlands  |   1.597991   3.181461     0.50   0.615    -4.637558     7.83354
                  Norway  |  -7.626204   2.830244    -2.69   0.007    -13.17338   -2.079027
                Portugal  |   21.41828   4.195474     5.11   0.000      13.1953    29.64125
                  Sweden  |  -4.915207   3.100648    -1.59   0.113    -10.99237    1.161952
                Bulgaria  |   40.69557   15.77271     2.58   0.010     9.781633    71.60951
          Czech Republic  |   46.65777   17.39041     2.68   0.007      12.5732    80.74234
                 Estonia  |  -22.55172   10.93506    -2.06   0.039    -43.98405   -1.119389
                 Hungary  |  -16.17594   13.95802    -1.16   0.246    -43.53315    11.18126
                  Latvia  |   47.71428   13.09052     3.64   0.000     22.05734    73.37122
               Lithuania  |   19.86534   22.64339     0.88   0.380    -24.51489    64.24557
                  Poland  |   -52.4849   12.57452    -4.17   0.000    -77.13052   -27.83929
                 Romania  |   59.34475   14.09707     4.21   0.000       31.715    86.97451
                Slovakia  |   54.15992   16.50325     3.28   0.001     21.81414     86.5057
                Slovenia  |   22.19572   13.17062     1.69   0.092    -3.618216    48.00965
                          |
              index_n_w_5 |  -2.934922   .6112829    -4.80   0.000    -4.133014    -1.73683
                    _cons |          0  (omitted)
--------------------------+----------------------------------------------------------------
                      rho |   .2069386
-------------------------------------------------------------------------------------------

added macro:
              e(fixed) : "Yes"

added macro:
     e(country_year_2) : "Yes"

added macro:
               e(year) : "Yes"

Number of gaps in sample = 1
note: computations for rho restarted at each gap.
note: 30.Country#c.Year_since_1945 omitted because of collinearity.
note: the number of observations per panel, e(n_sigma) = 7,
      used to compute the disturbance of covariance matrix e(Sigma)
      is less than half of the average number of observations per panel,
      e(n_avg) = 14.190476; you may want to consider the pairwise option.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        298
Time variable:    Rankleg                       Number of groups  =         21
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          7
Sigma computed by casewise selection                          avg =  14.190476
                                                              max =         28
Estimated covariances      =       231          R-squared         =     0.9034
Estimated autocorrelations =         1          Wald chi2(49)     =   1.82e+07
Estimated coefficients     =        49          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |  -.2348887   .0675501    -3.48   0.001    -.3672845   -.1024929
                Closeness |  -.0924873   .0483075    -1.91   0.056    -.1871683    .0021937
                          |
                 Elsystem |
            Proportional  |   2.975161   2.850143     1.04   0.297    -2.611016    8.561338
                   Mixed  |   1.704256   3.820228     0.45   0.656    -5.783253    9.191765
                          |
                     1.CV |   1.086225   2.696819     0.40   0.687    -4.199442    6.371893
                 1.Joint1 |   8.444864   3.101721     2.72   0.006     2.365604    14.52412
                     Year |   .0460044    .001625    28.31   0.000     .0428195    .0491893
                          |
Country#c.Year_since_1945 |
                 Denmark  |   .0104632   .0309444     0.34   0.735    -.0501867    .0711132
                   Spain  |  -.1592151   .0940028    -1.69   0.090    -.3434573    .0250271
                 Finland  |   -.236267   .0683635    -3.46   0.001    -.3702569    -.102277
                  France  |  -.3435825   .0644561    -5.33   0.000    -.4699142   -.2172508
                  Greece  |   -.404512   .1047223    -3.86   0.000     -.609764     -.19926
                 Ireland  |  -.1425876   .0375866    -3.79   0.000     -.216256   -.0689192
                 Iceland  |   -.134213   .0229072    -5.86   0.000    -.1791103   -.0893158
                   Malta  |   .0221657   .0320127     0.69   0.489    -.0405781    .0849094
                  Norway  |  -.0564568   .0445419    -1.27   0.205    -.1437573    .0308436
                Portugal  |  -.8381326    .067531   -12.41   0.000     -.970491   -.7057743
                  Sweden  |    .015606   .0478543     0.33   0.744    -.0781867    .1093988
                Bulgaria  |  -1.087567   .2750828    -3.95   0.000     -1.62672    -.548415
          Czech Republic  |  -1.106894   .3004298    -3.68   0.000    -1.695726   -.5180625
                 Estonia  |  -.0578785   .1802863    -0.32   0.748    -.4112331    .2954761
                 Hungary  |  -.1169675   .2340582    -0.50   0.617    -.5757132    .3417782
                  Latvia  |  -1.133574    .211368    -5.36   0.000    -1.547847      -.7193
               Lithuania  |  -.8476937   .3790026    -2.24   0.025    -1.590525   -.1048623
                  Poland  |   .2442084   .2176136     1.12   0.262    -.1823064    .6707232
                 Romania  |  -1.594202   .2314275    -6.89   0.000    -2.047791   -1.140612
                Slovakia  |  -1.211475   .2796066    -4.33   0.000    -1.759493   -.6634557
                Slovenia  |  -.7194951    .223435    -3.22   0.001     -1.15742   -.2815706
                          |
                  Country |
                 Denmark  |   -1.95972   2.047143    -0.96   0.338    -5.972046    2.052607
                   Spain  |  -7.622394   6.074748    -1.25   0.210    -19.52868    4.283893
                 Finland  |  -3.448298   3.688224    -0.93   0.350    -10.67708    3.780488
                  Greece  |   4.784073   7.323173     0.65   0.514    -9.569083    19.13723
                 Ireland  |  -12.88335   2.777557    -4.64   0.000    -18.32726   -7.439437
                 Iceland  |   4.411212   2.634859     1.67   0.094    -.7530178    9.575441
                   Malta  |  -.0999044   3.306717    -0.03   0.976     -6.58095    6.381141
                  Norway  |  -7.515166   2.880314    -2.61   0.009    -13.16048   -1.869854
                Portugal  |   21.61485   4.272635     5.06   0.000     13.24063    29.98906
                  Sweden  |  -4.838565   3.196401    -1.51   0.130     -11.1034    1.426266
                Bulgaria  |   40.48588   16.11862     2.51   0.012      8.89397    72.07778
          Czech Republic  |   47.01901   17.79572     2.64   0.008     12.14005    81.89798
                 Estonia  |   -22.0182   11.21047    -1.96   0.050    -43.99033   -.0460745
                 Hungary  |  -16.38262   14.46487    -1.13   0.257    -44.73324      11.968
                  Latvia  |    48.4198    13.3788     3.62   0.000     22.19782    74.64177
               Lithuania  |   20.27297   22.98645     0.88   0.378    -24.77964    65.32558
                  Poland  |    -51.798   12.81728    -4.04   0.000    -76.91941   -26.67659
                 Romania  |    60.6248   14.81626     4.09   0.000     31.58546    89.66414
                Slovakia  |    54.2548   16.89729     3.21   0.001     21.13671    87.37288
                Slovenia  |   22.71622   13.48294     1.68   0.092    -3.709866     49.1423
                          |
              index_n_w_5 |   -2.89081   .6312847    -4.58   0.000    -4.128105   -1.653515
                    _cons |          0  (omitted)
--------------------------+----------------------------------------------------------------
                      rho |   .2309348
-------------------------------------------------------------------------------------------

added macro:
              e(fixed) : "Yes"

added macro:
     e(country_year_2) : "Yes"

added macro:
               e(year) : "Yes"

Number of gaps in sample = 1
note: computations for rho restarted at each gap.
note: 30.Country#c.Year_since_1945 omitted because of collinearity.
note: the number of observations per panel, e(n_sigma) = 7,
      used to compute the disturbance of covariance matrix e(Sigma)
      is less than half of the average number of observations per panel,
      e(n_avg) = 14.333333; you may want to consider the pairwise option.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        301
Time variable:    Rankleg                       Number of groups  =         21
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          7
Sigma computed by casewise selection                          avg =  14.333333
                                                              max =         28
Estimated covariances      =       231          R-squared         =     0.9065
Estimated autocorrelations =         1          Wald chi2(49)     =   2.80e+07
Estimated coefficients     =        49          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |  -.2131242   .0634042    -3.36   0.001    -.3373942   -.0888542
                Closeness |  -.0737536   .0462763    -1.59   0.111    -.1644535    .0169462
                          |
                 Elsystem |
            Proportional  |   2.670904   2.822696     0.95   0.344    -2.861478    8.203287
                   Mixed  |   1.244788   3.716166     0.33   0.738    -6.038764    8.528339
                          |
                     1.CV |   7.179183   1.473062     4.87   0.000     4.292036    10.06633
                 1.Joint1 |   8.467494    3.06348     2.76   0.006     2.463184    14.47181
                     Year |   .0459188   .0015761    29.13   0.000     .0428297    .0490079
                          |
Country#c.Year_since_1945 |
                 Denmark  |   .0105847   .0304947     0.35   0.729    -.0491839    .0703532
                   Spain  |  -.1613636   .0908088    -1.78   0.076    -.3393457    .0166184
                 Finland  |   -.239041   .0666986    -3.58   0.000    -.3697679   -.1083141
                  France  |  -.3478654   .0629351    -5.53   0.000    -.4712159    -.224515
                  Greece  |  -.2145355   .0605905    -3.54   0.000    -.3332907   -.0957803
                 Ireland  |  -.1445699   .0372159    -3.88   0.000    -.2175118    -.071628
                 Iceland  |  -.1356107   .0226212    -5.99   0.000    -.1799475   -.0912739
                   Malta  |   .0188992   .0319701     0.59   0.554    -.0437609    .0815594
             Netherlands  |  -.1567025   .0383311    -4.09   0.000    -.2318301   -.0815749
                Portugal  |   -.833731   .0669413   -12.45   0.000    -.9649336   -.7025284
                  Sweden  |   .0150691   .0467927     0.32   0.747    -.0766429    .1067811
                Bulgaria  |  -1.096011   .2702433    -4.06   0.000    -1.625678   -.5663442
          Czech Republic  |  -1.104865   .2932406    -3.77   0.000    -1.679606   -.5301243
                 Estonia  |  -.0492366   .1755492    -0.28   0.779    -.3933067    .2948334
                 Hungary  |  -.1189904   .2254942    -0.53   0.598    -.5609509    .3229702
                  Latvia  |  -1.125041   .2067129    -5.44   0.000    -1.530191   -.7198908
               Lithuania  |  -.8403918   .3746239    -2.24   0.025    -1.574641   -.1061425
                  Poland  |    .256028   .2143512     1.19   0.232    -.1640926    .6761486
                 Romania  |   -1.57241   .2168926    -7.25   0.000    -1.997512   -1.147309
                Slovakia  |  -1.216736    .273556    -4.45   0.000    -1.752895   -.6805756
                Slovenia  |  -.7159962   .2177575    -3.29   0.001    -1.142793   -.2891993
                          |
                  Country |
                 Denmark  |  -2.065935   1.957001    -1.06   0.291    -5.901586    1.769717
                   Spain  |  -7.484629   5.887728    -1.27   0.204    -19.02436    4.055106
                 Finland  |  -3.491907   3.624273    -0.96   0.335    -10.59535    3.611539
                  Greece  |  -8.512765   4.419132    -1.93   0.054     -17.1741    .1485742
                 Ireland  |  -12.73343   2.693909    -4.73   0.000    -18.01339   -7.453465
                 Iceland  |   4.410925   2.559181     1.72   0.085    -.6049769    9.426828
                   Malta  |   .4172257    3.21946     0.13   0.897    -5.892799    6.727251
             Netherlands  |   1.630538   3.169734     0.51   0.607    -4.582025    7.843102
                Portugal  |   21.42904   4.180129     5.13   0.000     13.23614    29.62194
                  Sweden  |   -4.89921   3.084486    -1.59   0.112    -10.94469    1.146272
                Bulgaria  |   40.89526   15.79231     2.59   0.010     9.942893    71.84762
          Czech Republic  |   46.69108   17.34596     2.69   0.007     12.69363    80.68854
                 Estonia  |  -22.68028   10.91159    -2.08   0.038    -44.06662   -1.293951
                 Hungary  |  -16.13754   13.94931    -1.16   0.247    -43.47767     11.2026
                  Latvia  |    47.6704   13.07201     3.65   0.000     22.04974    73.29106
               Lithuania  |    19.7488   22.66085     0.87   0.383    -24.66565    64.16324
                  Poland  |  -52.60676   12.62749    -4.17   0.000    -77.35619   -27.85732
                 Romania  |   59.13419   13.96931     4.23   0.000     31.75484    86.51354
                Slovakia  |   54.28373   16.49095     3.29   0.001     21.96206     86.6054
                Slovenia  |   22.34925   13.16285     1.70   0.090    -3.449457    48.14795
                          |
              index_n_w_5 |  -2.902264   .6061733    -4.79   0.000    -4.090342   -1.714187
                    _cons |          0  (omitted)
--------------------------+----------------------------------------------------------------
                      rho |   .2049827
-------------------------------------------------------------------------------------------

added macro:
              e(fixed) : "Yes"

added macro:
     e(country_year_2) : "Yes"

added macro:
               e(year) : "Yes"

Number of gaps in sample = 1
note: computations for rho restarted at each gap.
note: 30.Country#c.Year_since_1945 omitted because of collinearity.
note: the number of observations per panel, e(n_sigma) = 7,
      used to compute the disturbance of covariance matrix e(Sigma)
      is less than half of the average number of observations per panel,
      e(n_avg) = 14.47619; you may want to consider the pairwise option.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        304
Time variable:    Rankleg                       Number of groups  =         21
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          7
Sigma computed by casewise selection                          avg =   14.47619
                                                              max =         28
Estimated covariances      =       231          R-squared         =     0.9023
Estimated autocorrelations =         1          Wald chi2(49)     =   1.34e+07
Estimated coefficients     =        49          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |  -.2297622   .0655916    -3.50   0.000    -.3583194    -.101205
                Closeness |  -.0773183   .0466371    -1.66   0.097    -.1687254    .0140888
                          |
                 Elsystem |
            Proportional  |   2.716338   2.837768     0.96   0.338    -2.845586    8.278262
                   Mixed  |    1.24535   3.727237     0.33   0.738    -6.059901    8.550601
                          |
                     1.CV |   7.122027   1.477832     4.82   0.000     4.225529    10.01852
                 1.Joint1 |    8.50542   3.066577     2.77   0.006     2.495039     14.5158
                     Year |   .0459826   .0015753    29.19   0.000      .042895    .0490702
                          |
Country#c.Year_since_1945 |
                 Denmark  |   .0128609   .0306118     0.42   0.674    -.0471371    .0728589
                   Spain  |  -.1590938   .0885519    -1.80   0.072    -.3326523    .0144647
                 Finland  |  -.2389625   .0657217    -3.64   0.000    -.3677748   -.1101503
                  France  |  -.3463365   .0627106    -5.52   0.000     -.469247   -.2234259
                  Greece  |  -.2130121   .0608399    -3.50   0.000     -.332256   -.0937681
                 Ireland  |  -.1424745   .0367094    -3.88   0.000    -.2144235   -.0705255
                 Iceland  |  -.1337268   .0225294    -5.94   0.000    -.1778837   -.0895699
                   Malta  |    .019642   .0316697     0.62   0.535    -.0424295    .0817135
             Netherlands  |   -.157341   .0382034    -4.12   0.000    -.2322183   -.0824636
                  Norway  |   -.053688   .0436202    -1.23   0.218    -.1391819     .031806
                  Sweden  |   .0179557   .0464154     0.39   0.699    -.0730169    .1089283
                Bulgaria  |  -1.092553   .2676122    -4.08   0.000    -1.617063   -.5680427
          Czech Republic  |  -1.097536   .2896774    -3.79   0.000    -1.665293   -.5297786
                 Estonia  |  -.0507194   .1716652    -0.30   0.768    -.3871771    .2857382
                 Hungary  |  -.1309164   .2223609    -0.59   0.556    -.5667358     .304903
                  Latvia  |  -1.122622   .2002229    -5.61   0.000    -1.515052   -.7301927
               Lithuania  |   -.822912   .3653759    -2.25   0.024    -1.539036   -.1067885
                  Poland  |   .2410754   .2104794     1.15   0.252    -.1714567    .6536075
                 Romania  |  -1.580376   .2166893    -7.29   0.000    -2.005079   -1.155673
                Slovakia  |  -1.220576   .2699576    -4.52   0.000    -1.749684   -.6914694
                Slovenia  |   -.720935    .215875    -3.34   0.001    -1.144042   -.2978278
                          |
                  Country |
                 Denmark  |  -2.031239   1.947266    -1.04   0.297     -5.84781    1.785331
                   Spain  |  -7.562046   5.756357    -1.31   0.189     -18.8443    3.720207
                 Finland  |  -3.251953   3.612989    -0.90   0.368    -10.33328    3.829375
                  Greece  |  -8.582352   4.420058    -1.94   0.052    -17.24551     .080803
                 Ireland  |   -12.8378   2.670471    -4.81   0.000    -18.07183   -7.603778
                 Iceland  |   4.432241    2.54248     1.74   0.081    -.5509277    9.415411
                   Malta  |   .2615424     3.2244     0.08   0.935    -6.058165     6.58125
             Netherlands  |   1.834862   3.164979     0.58   0.562    -4.368383    8.038107
                  Norway  |  -7.623043     2.8087    -2.71   0.007    -13.12799   -2.118091
                  Sweden  |   -4.97438   3.057835    -1.63   0.104    -10.96763    1.018866
                Bulgaria  |    40.7271   15.61501     2.61   0.009     10.12224    71.33196
          Czech Republic  |   46.38059   17.12285     2.71   0.007     12.82043    79.94075
                 Estonia  |  -22.38981    10.6551    -2.10   0.036    -43.27342   -1.506206
                 Hungary  |  -15.37582   13.76412    -1.12   0.264    -42.35299    11.60135
                  Latvia  |   47.75702   12.70057     3.76   0.000     22.86436    72.64968
               Lithuania  |    18.8903    22.0929     0.86   0.393      -24.411    62.19159
                  Poland  |  -51.63216   12.39067    -4.17   0.000    -75.91742    -27.3469
                 Romania  |   59.65228   13.95282     4.28   0.000     32.30526     86.9993
                Slovakia  |    54.6243   16.28381     3.35   0.001     22.70863    86.53997
                Slovenia  |   22.77934    13.0572     1.74   0.081    -2.812303    48.37098
                          |
              index_n_w_5 |  -2.861323   .6262276    -4.57   0.000    -4.088707    -1.63394
                    _cons |          0  (omitted)
--------------------------+----------------------------------------------------------------
                      rho |   .1876444
-------------------------------------------------------------------------------------------

added macro:
              e(fixed) : "Yes"

added macro:
     e(country_year_2) : "Yes"

added macro:
               e(year) : "Yes"

Number of gaps in sample = 1
note: computations for rho restarted at each gap.
note: 30.Country#c.Year_since_1945 omitted because of collinearity.
note: the number of observations per panel, e(n_sigma) = 7,
      used to compute the disturbance of covariance matrix e(Sigma)
      is less than half of the average number of observations per panel,
      e(n_avg) = 14.190476; you may want to consider the pairwise option.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        298
Time variable:    Rankleg                       Number of groups  =         21
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          7
Sigma computed by casewise selection                          avg =  14.190476
                                                              max =         28
Estimated covariances      =       231          R-squared         =     0.9072
Estimated autocorrelations =         1          Wald chi2(49)     =   3.28e+07
Estimated coefficients     =        49          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |  -.2131533   .0627408    -3.40   0.001     -.336123   -.0901837
                Closeness |  -.0797744   .0459624    -1.74   0.083    -.1698591    .0103102
                          |
                 Elsystem |
            Proportional  |    2.50028   2.775352     0.90   0.368     -2.93931    7.939871
                   Mixed  |   1.038402   3.687363     0.28   0.778    -6.188697    8.265501
                          |
                     1.CV |   7.071749   1.467912     4.82   0.000     4.194694    9.948803
                 1.Joint1 |   8.448374   3.069815     2.75   0.006     2.431647     14.4651
                     Year |   .0459537   .0015249    30.13   0.000     .0429649    .0489425
                          |
Country#c.Year_since_1945 |
                 Denmark  |    .009501   .0300364     0.32   0.752    -.0493692    .0683712
                   Spain  |    -.16037    .086794    -1.85   0.065    -.3304832    .0097432
                 Finland  |  -.2411142   .0647229    -3.73   0.000    -.3679687   -.1142596
                  France  |  -.3492262   .0608861    -5.74   0.000    -.4685608   -.2298916
                  Greece  |  -.2208584   .0601055    -3.67   0.000     -.338663   -.1030538
                 Ireland  |  -.1464375   .0360151    -4.07   0.000    -.2170258   -.0758492
                 Iceland  |  -.1370678   .0224532    -6.10   0.000    -.1810751   -.0930604
                   Malta  |   .0188752   .0315283     0.60   0.549    -.0429192    .0806696
             Netherlands  |  -.1606342     .03819    -4.21   0.000    -.2354853   -.0857832
                  Norway  |   -.059202   .0429812    -1.38   0.168    -.1434436    .0250396
                Portugal  |  -.8332435   .0650449   -12.81   0.000    -.9607293   -.7057578
                Bulgaria  |   -1.09975   .2608033    -4.22   0.000    -1.610915    -.588585
          Czech Republic  |  -1.107711   .2902023    -3.82   0.000    -1.676497    -.538925
                 Estonia  |  -.0497053   .1711232    -0.29   0.771    -.3851007    .2856901
                 Hungary  |  -.1163114   .2161774    -0.54   0.591    -.5400114    .3073885
                  Latvia  |  -1.121379   .2016067    -5.56   0.000    -1.516521   -.7262374
               Lithuania  |   -.834545   .3603969    -2.32   0.021     -1.54091     -.12818
                  Poland  |   .2557945   .2076813     1.23   0.218    -.1512533    .6628424
                 Romania  |  -1.575842   .2170348    -7.26   0.000    -2.001222   -1.150462
                Slovakia  |  -1.221535   .2637064    -4.63   0.000     -1.73839   -.7046798
                Slovenia  |  -.7228407    .210152    -3.44   0.001    -1.134731   -.3109504
                          |
                  Country |
                 Denmark  |  -1.887783   1.904128    -0.99   0.321    -5.619805     1.84424
                   Spain  |  -7.445384   5.660686    -1.32   0.188    -18.54012    3.649358
                 Finland  |  -3.332895     3.5675    -0.93   0.350    -10.32507    3.659277
                  Greece  |  -7.995986   4.386718    -1.82   0.068    -16.59379    .6018233
                 Ireland  |   -12.5125   2.630286    -4.76   0.000    -17.66776    -7.35723
                 Iceland  |   4.620969   2.478285     1.86   0.062      -.23638    9.478319
                   Malta  |   .5569791   3.160644     0.18   0.860    -5.637769    6.751727
             Netherlands  |   1.887578   3.105571     0.61   0.543    -4.199229    7.974385
                  Norway  |  -7.299995   2.776173    -2.63   0.009    -12.74119   -1.858796
                Portugal  |    21.5208   4.033255     5.34   0.000     13.61577    29.42584
                Bulgaria  |   41.16847   15.24912     2.70   0.007     11.28075    71.05618
          Czech Republic  |   46.91659   17.13152     2.74   0.006     13.33943    80.49376
                 Estonia  |   -22.5477   10.61333    -2.12   0.034    -43.34943   -1.745958
                 Hungary  |  -16.13733   13.34142    -1.21   0.226    -42.28602    10.01136
                  Latvia  |   47.50664   12.73736     3.73   0.000     22.54186    72.47141
               Lithuania  |   19.44822   21.81955     0.89   0.373    -23.31731    62.21374
                  Poland  |  -52.52836   12.22544    -4.30   0.000    -76.48977   -28.56694
                 Romania  |   59.48216   13.95724     4.26   0.000     32.12647    86.83785
                Slovakia  |    54.6398   15.86747     3.44   0.001     23.54013    85.73947
                Slovenia  |   22.81841   12.69885     1.80   0.072    -2.070873     47.7077
                          |
              index_n_w_5 |  -2.845717    .607696    -4.68   0.000    -4.036779   -1.654655
                    _cons |          0  (omitted)
--------------------------+----------------------------------------------------------------
                      rho |     .17173
-------------------------------------------------------------------------------------------

added macro:
              e(fixed) : "Yes"

added macro:
     e(country_year_2) : "Yes"

added macro:
               e(year) : "Yes"

Number of gaps in sample = 1
note: computations for rho restarted at each gap.
note: 30.Country#c.Year_since_1945 omitted because of collinearity.
note: the number of observations per panel, e(n_sigma) = 7,
      used to compute the disturbance of covariance matrix e(Sigma)
      is less than half of the average number of observations per panel,
      e(n_avg) = 14.761905; you may want to consider the pairwise option.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        310
Time variable:    Rankleg                       Number of groups  =         21
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          7
Sigma computed by casewise selection                          avg =  14.761905
                                                              max =         28
Estimated covariances      =       231          R-squared         =     0.9073
Estimated autocorrelations =         1          Wald chi2(49)     =   2.86e+07
Estimated coefficients     =        49          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |  -.2121698   .0604813    -3.51   0.000    -.3307109   -.0936288
                Closeness |  -.0484207   .0460655    -1.05   0.293    -.1387075    .0418661
                          |
                 Elsystem |
            Proportional  |   2.793485   2.816663     0.99   0.321    -2.727073    8.314043
                   Mixed  |  -2.388873   3.454057    -0.69   0.489      -9.1587    4.380954
                          |
                     1.CV |   7.372525   1.402433     5.26   0.000     4.623806    10.12124
                 1.Joint1 |    7.30393   2.992517     2.44   0.015     1.438705    13.16915
                     Year |   .0455585   .0015759    28.91   0.000     .0424698    .0486472
                          |
Country#c.Year_since_1945 |
                 Denmark  |   .0143949   .0302555     0.48   0.634    -.0449048    .0736945
                   Spain  |  -.1645515   .0931169    -1.77   0.077    -.3470573    .0179542
                 Finland  |  -.2368051   .0664396    -3.56   0.000    -.3670243   -.1065858
                  France  |  -.3480998     .06309    -5.52   0.000     -.471754   -.2244456
                  Greece  |  -.1636558   .0569387    -2.87   0.004    -.2752536    -.052058
                 Ireland  |  -.1428077   .0375809    -3.80   0.000    -.2164649   -.0691505
                 Iceland  |  -.1330173   .0219845    -6.05   0.000    -.1761062   -.0899284
                   Malta  |   .0140978   .0333451     0.42   0.672    -.0512574     .079453
             Netherlands  |  -.1561539   .0367396    -4.25   0.000    -.2281622   -.0841455
                  Norway  |  -.0469458   .0434406    -1.08   0.280    -.1320878    .0381962
                Portugal  |  -.8336934   .0688459   -12.11   0.000    -.9686288    -.698758
                  Sweden  |   .0228466   .0460682     0.50   0.620    -.0674455    .1131386
          Czech Republic  |  -1.097856   .2867719    -3.83   0.000    -1.659918   -.5357929
                 Estonia  |  -.0641467   .1722993    -0.37   0.710    -.4018472    .2735538
                 Hungary  |  -.1372734   .2267366    -0.61   0.545     -.581669    .3071221
                  Latvia  |  -1.126862   .2020969    -5.58   0.000    -1.522964   -.7307593
               Lithuania  |  -.8071002   .3735193    -2.16   0.031    -1.539185   -.0750158
                  Poland  |   .2411777   .2112976     1.14   0.254    -.1729579    .6553133
                 Romania  |  -1.546215   .2074575    -7.45   0.000    -1.952824   -1.139605
                Slovakia  |  -1.238517   .2826799    -4.38   0.000     -1.79256    -.684475
                Slovenia  |  -.7764007   .2214599    -3.51   0.000    -1.210454   -.3423474
                          |
                  Country |
                 Denmark  |  -2.120459   1.945238    -1.09   0.276    -5.933056    1.692138
                   Spain  |  -7.182288   6.013489    -1.19   0.232    -18.96851    4.603933
                 Finland  |  -3.223246   3.586999    -0.90   0.369    -10.25364    3.807143
                  Greece  |  -10.75804   4.216939    -2.55   0.011    -19.02309   -2.492994
                 Ireland  |  -12.71087   2.694838    -4.72   0.000    -17.99266   -7.429086
                 Iceland  |    4.42389    2.54055     1.74   0.082    -.5554955    9.403276
                   Malta  |   1.044716   3.268256     0.32   0.749    -5.360948    7.450379
             Netherlands  |   1.828371   3.106006     0.59   0.556    -4.259288     7.91603
                  Norway  |  -7.855822   2.798409    -2.81   0.005     -13.3406   -2.371042
                Portugal  |   21.49082   4.194685     5.12   0.000     13.26939    29.71225
                  Sweden  |   -5.16747   2.966829    -1.74   0.082    -10.98235    .6474085
          Czech Republic  |   46.43862   16.99668     2.73   0.006     13.12574     79.7515
                 Estonia  |  -21.35219   10.68068    -2.00   0.046    -42.28593   -.4184491
                 Hungary  |   -11.1589   13.92655    -0.80   0.423    -38.45443    16.13663
                  Latvia  |   48.06082   12.78498     3.76   0.000     23.00272    73.11893
               Lithuania  |   21.62333   22.81219     0.95   0.343    -23.08774     66.3344
                  Poland  |  -51.71406   12.45293    -4.15   0.000    -76.12135   -27.30677
                 Romania  |    58.9173   13.53874     4.35   0.000     32.38187    85.45274
                Slovakia  |   55.47744   16.98242     3.27   0.001      22.1925    88.76238
                Slovenia  |    26.0688    13.3867     1.95   0.051    -.1686568    52.30626
                          |
              index_n_w_5 |  -2.606636   .5907181    -4.41   0.000    -3.764423    -1.44885
                    _cons |          0  (omitted)
--------------------------+----------------------------------------------------------------
                      rho |   .2138203
-------------------------------------------------------------------------------------------

added macro:
              e(fixed) : "Yes"

added macro:
     e(country_year_2) : "Yes"

added macro:
               e(year) : "Yes"

Number of gaps in sample = 1
note: computations for rho restarted at each gap.
note: 30.Country#c.Year_since_1945 omitted because of collinearity.
note: the number of observations per panel, e(n_sigma) = 7,
      used to compute the disturbance of covariance matrix e(Sigma)
      is less than half of the average number of observations per panel,
      e(n_avg) = 14.809524; you may want to consider the pairwise option.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        311
Time variable:    Rankleg                       Number of groups  =         21
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          7
Sigma computed by casewise selection                          avg =  14.809524
                                                              max =         28
Estimated covariances      =       231          R-squared         =     0.9091
Estimated autocorrelations =         1          Wald chi2(49)     =   3.40e+07
Estimated coefficients     =        49          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |   -.226371   .0604189    -3.75   0.000    -.3447899   -.1079522
                Closeness |  -.1122677   .0428033    -2.62   0.009    -.1961606   -.0283749
                          |
                 Elsystem |
            Proportional  |   2.713363    2.77891     0.98   0.329    -2.733201    8.159927
                   Mixed  |   1.428665   3.726013     0.38   0.701    -5.874186    8.731516
                          |
                     1.CV |   6.970556   1.461018     4.77   0.000     4.107012    9.834099
                 1.Joint1 |   8.363787    3.10386     2.69   0.007     2.280332    14.44724
                     Year |   .0461737    .001534    30.10   0.000      .043167    .0491803
                          |
Country#c.Year_since_1945 |
                 Denmark  |   .0056061   .0303306     0.18   0.853    -.0538408    .0650531
                   Spain  |  -.1577671   .0895786    -1.76   0.078    -.3333378    .0178037
                 Finland  |  -.2398782   .0667235    -3.60   0.000    -.3706539   -.1091025
                  France  |  -.3455946    .061742    -5.60   0.000    -.4666067   -.2245825
                  Greece  |  -.2292965   .0610848    -3.75   0.000    -.3490205   -.1095726
                 Ireland  |  -.1471911   .0361514    -4.07   0.000    -.2180465   -.0763358
                 Iceland  |   -.138571   .0228514    -6.06   0.000     -.183359    -.093783
                   Malta  |   .0242363   .0306566     0.79   0.429    -.0358496    .0843221
             Netherlands  |  -.1577248   .0388274    -4.06   0.000     -.233825   -.0816245
                  Norway  |  -.0666719    .044009    -1.51   0.130     -.152928    .0195841
                Portugal  |  -.8383524   .0647537   -12.95   0.000    -.9652674   -.7114373
                  Sweden  |   .0071389   .0477873     0.15   0.881    -.0865226    .1008004
                Bulgaria  |  -1.088868   .2587815    -4.21   0.000     -1.59607   -.5816656
                 Estonia  |  -.0643518   .1783816    -0.36   0.718    -.4139733    .2852697
                 Hungary  |  -.0960625   .2249275    -0.43   0.669    -.5369123    .3447872
                  Latvia  |  -1.130725   .2118934    -5.34   0.000    -1.546028   -.7154213
               Lithuania  |  -.8684297   .3734565    -2.33   0.020    -1.600391   -.1364684
                  Poland  |   .2600396   .2132854     1.22   0.223    -.1579921    .6780713
                 Romania  |  -1.597583   .2402448    -6.65   0.000    -2.068454   -1.126712
                Slovakia  |  -1.204903   .2658408    -4.53   0.000    -1.725942   -.6838648
                Slovenia  |  -.7131479   .2123338    -3.36   0.001    -1.129314   -.2969813
                          |
                  Country |
                 Denmark  |  -1.704987   1.972181    -0.86   0.387     -5.57039    2.160416
                   Spain  |  -7.672409   5.828035    -1.32   0.188    -19.09515     3.75033
                 Finland  |  -3.520022   3.622969    -0.97   0.331    -10.62091    3.580866
                  Greece  |  -7.671355   4.401156    -1.74   0.081    -16.29746    .9547532
                 Ireland  |  -12.53994   2.678166    -4.68   0.000    -17.78905   -7.290835
                 Iceland  |   4.675388   2.522932     1.85   0.064    -.2694686    9.620245
                   Malta  |  -.1557405    3.11752    -0.05   0.960    -6.265968    5.954487
             Netherlands  |    1.64951   3.151556     0.52   0.601    -4.527427    7.826448
                  Norway  |  -6.954972   2.793493    -2.49   0.013    -12.43012   -1.479827
                Portugal  |   21.75391   4.111644     5.29   0.000     13.69524    29.81258
                  Sweden  |  -4.257498   3.164718    -1.35   0.179    -10.46023    1.945235
                Bulgaria  |   40.61253   15.22524     2.67   0.008     10.77161    70.45344
                 Estonia  |  -21.72902   11.04515    -1.97   0.049    -43.37711   -.0809201
                 Hungary  |  -17.51077   13.89678    -1.26   0.208    -44.74797    9.726423
                  Latvia  |   48.05853   13.37317     3.59   0.000      21.8476    74.26945
               Lithuania  |   21.42165   22.61798     0.95   0.344    -22.90877    65.75208
                  Poland  |  -52.70798   12.55188    -4.20   0.000    -77.30921   -28.10675
                 Romania  |   61.16812   15.27453     4.00   0.000     31.23059    91.10565
                Slovakia  |   53.95971   16.04266     3.36   0.001     22.51668    85.40274
                Slovenia  |   22.37845   12.78847     1.75   0.080    -2.686482    47.44339
                          |
              index_n_w_5 |  -2.974462   .5739268    -5.18   0.000    -4.099338   -1.849586
                    _cons |          0  (omitted)
--------------------------+----------------------------------------------------------------
                      rho |   .1982219
-------------------------------------------------------------------------------------------

added macro:
              e(fixed) : "Yes"

added macro:
     e(country_year_2) : "Yes"

added macro:
               e(year) : "Yes"

Number of gaps in sample = 1
note: computations for rho restarted at each gap.
note: 30.Country#c.Year_since_1945 omitted because of collinearity.
note: the number of observations per panel, e(n_sigma) = 7,
      used to compute the disturbance of covariance matrix e(Sigma)
      is less than half of the average number of observations per panel,
      e(n_avg) = 14.857143; you may want to consider the pairwise option.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        312
Time variable:    Rankleg                       Number of groups  =         21
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          7
Sigma computed by casewise selection                          avg =  14.857143
                                                              max =         28
Estimated covariances      =       231          R-squared         =     0.9043
Estimated autocorrelations =         1          Wald chi2(49)     =   3.13e+07
Estimated coefficients     =        49          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |   -.210319   .0643684    -3.27   0.001    -.3364787   -.0841593
                Closeness |  -.0805708   .0461043    -1.75   0.081    -.1709336     .009792
                          |
                 Elsystem |
            Proportional  |   2.698707   2.808955     0.96   0.337    -2.806744    8.204159
                   Mixed  |   1.467134   3.602048     0.41   0.684     -5.59275    8.527017
                          |
                     1.CV |   7.158413   1.472423     4.86   0.000     4.272518    10.04431
                 1.Joint1 |   9.296936   3.785576     2.46   0.014     1.877344    16.71653
                     Year |    .045925   .0015797    29.07   0.000     .0428288    .0490212
                          |
Country#c.Year_since_1945 |
                 Denmark  |   .0086835   .0304993     0.28   0.776    -.0510941    .0684611
                   Spain  |  -.1616855   .0921768    -1.75   0.079    -.3423487    .0189776
                 Finland  |  -.2387994   .0673514    -3.55   0.000    -.3708057    -.106793
                  France  |  -.3476799   .0629319    -5.52   0.000     -.471024   -.2243357
                  Greece  |  -.2201749   .0605466    -3.64   0.000    -.3388441   -.1015058
                 Ireland  |  -.1458334   .0374146    -3.90   0.000    -.2191646   -.0725022
                 Iceland  |  -.1368295   .0228165    -6.00   0.000     -.181549   -.0921101
                   Malta  |   .0196799   .0321308     0.61   0.540    -.0432954    .0826552
             Netherlands  |  -.1564737   .0385883    -4.05   0.000    -.2321054   -.0808421
                  Norway  |  -.0588991   .0442771    -1.33   0.183    -.1456807    .0278824
                Portugal  |  -.8354184   .0670913   -12.45   0.000    -.9669149   -.7039218
                  Sweden  |   .0125996   .0473568     0.27   0.790    -.0802181    .1054172
                Bulgaria  |  -1.094131   .2687363    -4.07   0.000    -1.620844   -.5674174
          Czech Republic  |  -1.111317   .2969497    -3.74   0.000    -1.693328   -.5293068
                 Hungary  |  -.1094132   .2293004    -0.48   0.633    -.5588336    .3400073
                  Latvia  |  -1.128603    .211221    -5.34   0.000    -1.542589   -.7146177
               Lithuania  |   -.853053   .3775091    -2.26   0.024    -1.592957   -.1131487
                  Poland  |   .2616197   .2157518     1.21   0.225    -.1612461    .6844855
                 Romania  |  -1.538928   .2512976    -6.12   0.000    -2.031462   -1.046394
                Slovakia  |  -1.213576   .2757493    -4.40   0.000    -1.754035   -.6731174
                Slovenia  |  -.6927914   .2226453    -3.11   0.002    -1.129168   -.2564147
                          |
                  Country |
                 Denmark  |  -1.994071   1.978403    -1.01   0.313     -5.87167    1.883528
                   Spain  |  -7.478128   5.969458    -1.25   0.210    -19.17805    4.221796
                 Finland  |  -3.585204     3.6359    -0.99   0.324    -10.71144    3.541029
                  Greece  |  -8.228072   4.446643    -1.85   0.064    -16.94333    .4871875
                 Ireland  |  -12.65196   2.724821    -4.64   0.000    -17.99251   -7.311403
                 Iceland  |    4.46264   2.571693     1.74   0.083    -.5777861    9.503066
                   Malta  |   .3624546   3.242425     0.11   0.911    -5.992583    6.717492
             Netherlands  |     1.5608   3.171897     0.49   0.623    -4.656004    7.777603
                  Norway  |  -7.475464   2.841409    -2.63   0.009    -13.04452   -1.906405
                Portugal  |   21.54156   4.223529     5.10   0.000     13.26359    29.81952
                  Sweden  |  -4.733544   3.130608    -1.51   0.131    -10.86942    1.402334
                Bulgaria  |   40.79675   15.73103     2.59   0.010     9.964505      71.629
          Czech Republic  |   47.08344   17.57538     2.68   0.007     12.63632    81.53055
                 Hungary  |  -16.86025   14.14144    -1.19   0.233    -44.57696    10.85646
                  Latvia  |   47.83296   13.35859     3.58   0.000      21.6506    74.01532
               Lithuania  |    20.3101   22.85174     0.89   0.374    -24.47849    65.09868
                  Poland  |    -52.937   12.71403    -4.16   0.000    -77.85603   -28.01796
                 Romania  |   56.75204   16.33865     3.47   0.001     24.72887    88.77521
                Slovakia  |   54.14929    16.6333     3.26   0.001     21.54861    86.74996
                Slovenia  |   20.80926   13.52122     1.54   0.124    -5.691833    47.31036
                          |
              index_n_w_5 |  -2.912205    .611528    -4.76   0.000    -4.110778   -1.713632
                    _cons |          0  (omitted)
--------------------------+----------------------------------------------------------------
                      rho |    .215033
-------------------------------------------------------------------------------------------

added macro:
              e(fixed) : "Yes"

added macro:
     e(country_year_2) : "Yes"

added macro:
               e(year) : "Yes"

Number of gaps in sample = 1
note: computations for rho restarted at each gap.
note: 30.Country#c.Year_since_1945 omitted because of collinearity.
note: the number of observations per panel, e(n_sigma) = 7,
      used to compute the disturbance of covariance matrix e(Sigma)
      is less than half of the average number of observations per panel,
      e(n_avg) = 14.857143; you may want to consider the pairwise option.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        312
Time variable:    Rankleg                       Number of groups  =         21
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          7
Sigma computed by casewise selection                          avg =  14.857143
                                                              max =         28
Estimated covariances      =       231          R-squared         =     0.9070
Estimated autocorrelations =         1          Wald chi2(49)     =   2.80e+07
Estimated coefficients     =        49          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |  -.2166546   .0635201    -3.41   0.001    -.3411517   -.0921574
                Closeness |  -.0867257   .0451073    -1.92   0.055    -.1751345     .001683
                          |
                 Elsystem |
            Proportional  |   2.871746   2.790037     1.03   0.303    -2.596625    8.340118
                   Mixed  |   1.441938   3.727502     0.39   0.699    -5.863832    8.747708
                          |
                     1.CV |   7.141576   1.441578     4.95   0.000     4.316135    9.967016
                 1.Joint1 |   8.321309   3.099619     2.68   0.007     2.246168    14.39645
                     Year |   .0458352     .00157    29.20   0.000     .0427581    .0489122
                          |
Country#c.Year_since_1945 |
                 Denmark  |   .0080449   .0305433     0.26   0.792    -.0518188    .0679085
                   Spain  |  -.1620872   .0948416    -1.71   0.087    -.3479733     .023799
                 Finland  |  -.2369514    .068213    -3.47   0.001    -.3706463   -.1032564
                  France  |  -.3459666   .0630553    -5.49   0.000    -.4695528   -.2223805
                  Greece  |  -.2212236   .0604073    -3.66   0.000    -.3396196   -.1028275
                 Ireland  |  -.1459258    .037512    -3.89   0.000    -.2194481   -.0724035
                 Iceland  |  -.1367081   .0228292    -5.99   0.000    -.1814526   -.0919636
                   Malta  |   .0200081   .0322968     0.62   0.536    -.0432926    .0833087
             Netherlands  |  -.1559966   .0382251    -4.08   0.000    -.2309164   -.0810768
                  Norway  |  -.0588867   .0447033    -1.32   0.188    -.1465036    .0287302
                Portugal  |  -.8388112    .067811   -12.37   0.000    -.9717184   -.7059041
                  Sweden  |   .0130089    .048149     0.27   0.787    -.0813615    .1073793
                Bulgaria  |  -1.101652   .2746148    -4.01   0.000    -1.639887    -.563417
          Czech Republic  |  -1.116244   .3008121    -3.71   0.000    -1.705825   -.5266634
                 Estonia  |  -.0547846   .1804096    -0.30   0.761    -.4083809    .2988116
                  Latvia  |  -1.135603   .2148101    -5.29   0.000    -1.556623   -.7145829
               Lithuania  |  -.8542962   .3808665    -2.24   0.025    -1.600781   -.1078116
                  Poland  |   .2562672   .2177586     1.18   0.239    -.1705318    .6830661
                 Romania  |  -1.587658   .2278068    -6.97   0.000    -2.034151   -1.141164
                Slovakia  |  -1.217688   .2808777    -4.34   0.000    -1.768199   -.6671781
                Slovenia  |  -.7312719   .2226509    -3.28   0.001     -1.16766   -.2948841
                          |
                  Country |
                 Denmark  |  -1.863558    2.00579    -0.93   0.353    -5.794833    2.067717
                   Spain  |  -7.407415   6.120102    -1.21   0.226    -19.40259    4.587765
                 Finland  |  -3.519831   3.649454    -0.96   0.335    -10.67263    3.632966
                  Greece  |  -8.140627   4.371281    -1.86   0.063    -16.70818    .4269263
                 Ireland  |  -12.58329   2.745506    -4.58   0.000    -17.96438   -7.202197
                 Iceland  |   4.560777   2.576573     1.77   0.077    -.4892132    9.610767
                   Malta  |   .3558488   3.221437     0.11   0.912    -5.958052    6.669749
             Netherlands  |   1.627986   3.163168     0.51   0.607    -4.571709     7.82768
                  Norway  |  -7.318063   2.840006    -2.58   0.010    -12.88437   -1.751753
                Portugal  |   21.77181     4.2621     5.11   0.000     13.41824    30.12537
                  Sweden  |    -4.5913   3.152881    -1.46   0.145    -10.77083    1.588233
                Bulgaria  |   41.35486   16.10654     2.57   0.010     9.786628    72.92309
          Czech Republic  |   47.54981   17.82583     2.67   0.008     12.61183    82.48779
                 Estonia  |  -22.25488   11.18544    -1.99   0.047    -44.17793   -.3318177
                  Latvia  |   48.42602   13.57853     3.57   0.000     21.81258    75.03945
               Lithuania  |   20.73028   23.08455     0.90   0.369     -24.5146    65.97515
                  Poland  |  -52.55415   12.84768    -4.09   0.000    -77.73514   -27.37316
                 Romania  |   60.30479   14.56037     4.14   0.000     31.76699    88.84259
                Slovakia  |   54.54294   16.94191     3.22   0.001     21.33739    87.74848
                Slovenia  |   23.30054   13.41365     1.74   0.082    -2.989729    49.59081
                          |
              index_n_w_5 |   -2.79164   .5959949    -4.68   0.000    -3.959769   -1.623512
                    _cons |          0  (omitted)
--------------------------+----------------------------------------------------------------
                      rho |   .2322323
-------------------------------------------------------------------------------------------

added macro:
              e(fixed) : "Yes"

added macro:
     e(country_year_2) : "Yes"

added macro:
               e(year) : "Yes"

Number of gaps in sample = 1
note: computations for rho restarted at each gap.
note: 30.Country#c.Year_since_1945 omitted because of collinearity.
note: the number of observations per panel, e(n_sigma) = 7,
      used to compute the disturbance of covariance matrix e(Sigma)
      is less than half of the average number of observations per panel,
      e(n_avg) = 14.809524; you may want to consider the pairwise option.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        311
Time variable:    Rankleg                       Number of groups  =         21
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          7
Sigma computed by casewise selection                          avg =  14.809524
                                                              max =         28
Estimated covariances      =       231          R-squared         =     0.9035
Estimated autocorrelations =         1          Wald chi2(49)     =   3.10e+07
Estimated coefficients     =        49          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |  -.1983337   .0610948    -3.25   0.001    -.3180774     -.07859
                Closeness |  -.0835297   .0446883    -1.87   0.062    -.1711172    .0040578
                          |
                 Elsystem |
            Proportional  |   2.629197      2.759     0.95   0.341    -2.778344    8.036738
                   Mixed  |   1.267211   3.687518     0.34   0.731     -5.96019    8.494613
                          |
                     1.CV |   7.151689   1.463646     4.89   0.000     4.282996    10.02038
                 1.Joint1 |   8.354346   3.074206     2.72   0.007     2.329013    14.37968
                     Year |   .0458855   .0015591    29.43   0.000     .0428296    .0489414
                          |
Country#c.Year_since_1945 |
                 Denmark  |   .0059273   .0301926     0.20   0.844    -.0532491    .0651036
                   Spain  |  -.1630555   .0930298    -1.75   0.080    -.3453907    .0192796
                 Finland  |  -.2394049   .0676019    -3.54   0.000    -.3719023   -.1069076
                  France  |   -.349014   .0621233    -5.62   0.000    -.4707734   -.2272546
                  Greece  |  -.2234092   .0612264    -3.65   0.000    -.3434108   -.1034076
                 Ireland  |  -.1485345   .0373548    -3.98   0.000    -.2217485   -.0753204
                 Iceland  |  -.1391615   .0228077    -6.10   0.000    -.1838639   -.0944592
                   Malta  |   .0194582   .0321983     0.60   0.546    -.0436494    .0825657
             Netherlands  |    -.15738   .0385008    -4.09   0.000    -.2328402   -.0819197
                  Norway  |  -.0628002   .0443813    -1.42   0.157    -.1497859    .0241855
                Portugal  |  -.8364677   .0670018   -12.48   0.000    -.9677888   -.7051467
                  Sweden  |   .0089036   .0476966     0.19   0.852      -.08458    .1023871
                Bulgaria  |  -1.101483   .2693591    -4.09   0.000    -1.629417   -.5735485
          Czech Republic  |  -1.120417   .2995873    -3.74   0.000    -1.707597   -.5332368
                 Estonia  |  -.0524149   .1807502    -0.29   0.772    -.4066788     .301849
                 Hungary  |  -.0961676   .2315714    -0.42   0.678    -.5500392    .3577041
               Lithuania  |  -.8676385    .378529    -2.29   0.022    -1.609542   -.1257352
                  Poland  |   .2734919   .2166174     1.26   0.207    -.1510705    .6980543
                 Romania  |  -1.574369   .2264818    -6.95   0.000    -2.018265   -1.130473
                Slovakia  |  -1.212249   .2761772    -4.39   0.000    -1.753547   -.6709518
                Slovenia  |  -.7169926   .2185846    -3.28   0.001    -1.145411   -.2885746
                          |
                  Country |
                 Denmark  |  -1.908604   1.972017    -0.97   0.333    -5.773687    1.956478
                   Spain  |  -7.397672   6.021577    -1.23   0.219    -19.19975    4.404402
                 Finland  |  -3.715925   3.630957    -1.02   0.306    -10.83247    3.400621
                  Greece  |  -7.972573   4.439064    -1.80   0.072    -16.67298    .7278323
                 Ireland  |  -12.45369   2.716532    -4.58   0.000    -17.77799   -7.129382
                 Iceland  |   4.560404   2.551227     1.79   0.074    -.4399088    9.560716
                   Malta  |   .5076688   3.203813     0.16   0.874    -5.771688    6.787026
             Netherlands  |   1.497816   3.144803     0.48   0.634    -4.665884    7.661517
                  Norway  |  -7.278612    2.82952    -2.57   0.010    -12.82437   -1.732855
                Portugal  |   21.66317   4.237114     5.11   0.000     13.35858    29.96776
                  Sweden  |  -4.491316   3.136538    -1.43   0.152    -10.63882    1.656186
                Bulgaria  |   41.26417   15.82132     2.61   0.009     10.25496    72.27338
          Czech Republic  |   47.58207   17.73504     2.68   0.007     12.82203    82.34212
                 Estonia  |  -22.63943    11.1995    -2.02   0.043    -44.59003   -.6888171
                 Hungary  |  -17.44504   14.29818    -1.22   0.222    -45.46896    10.57889
               Lithuania  |   21.23476   22.99255     0.92   0.356    -23.82982    66.29934
                  Poland  |  -53.67012   12.77447    -4.20   0.000    -78.70762   -28.63262
                 Romania  |    59.4408    14.5154     4.10   0.000     30.99114    87.89047
                Slovakia  |   54.05434    16.6547     3.25   0.001     21.41173    86.69695
                Slovenia  |   22.33131   13.18987     1.69   0.090    -3.520356    48.18298
                          |
              index_n_w_5 |  -2.908854   .6005983    -4.84   0.000    -4.086005   -1.731703
                    _cons |          0  (omitted)
--------------------------+----------------------------------------------------------------
                      rho |   .2195617
-------------------------------------------------------------------------------------------

added macro:
              e(fixed) : "Yes"

added macro:
     e(country_year_2) : "Yes"

added macro:
               e(year) : "Yes"

Number of gaps in sample = 1
note: computations for rho restarted at each gap.
note: 30.Country#c.Year_since_1945 omitted because of collinearity.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        313
Time variable:    Rankleg                       Number of groups  =         21
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          8
Sigma computed by casewise selection                          avg =  14.904762
                                                              max =         28
Estimated covariances      =       231          R-squared         =     0.9059
Estimated autocorrelations =         1          Wald chi2(49)     =   1.48e+07
Estimated coefficients     =        49          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |  -.1865312   .0592038    -3.15   0.002    -.3025685   -.0704938
                Closeness |  -.0674019   .0445222    -1.51   0.130    -.1546638    .0198601
                          |
                 Elsystem |
            Proportional  |   2.506524    2.80242     0.89   0.371    -2.986118    7.999166
                   Mixed  |   1.191164   3.593772     0.33   0.740      -5.8525    8.234828
                          |
                     1.CV |   7.266995    1.71148     4.25   0.000     3.912555    10.62143
                 1.Joint1 |   8.477381   2.866807     2.96   0.003     2.858543    14.09622
                     Year |   .0459179   .0015635    29.37   0.000     .0428535    .0489823
                          |
Country#c.Year_since_1945 |
                 Denmark  |   .0075175   .0285829     0.26   0.793    -.0485039    .0635389
                   Spain  |  -.1640222   .0966622    -1.70   0.090    -.3534767    .0254323
                 Finland  |  -.2402958    .065147    -3.69   0.000    -.3679815   -.1126102
                  France  |  -.3508625   .0631607    -5.56   0.000    -.4746551   -.2270698
                  Greece  |  -.2150412   .0657201    -3.27   0.001    -.3438503   -.0862321
                 Ireland  |  -.1474753    .042879    -3.44   0.001    -.2315167    -.063434
                 Iceland  |  -.1384582   .0221518    -6.25   0.000    -.1818748   -.0950416
                   Malta  |   .0181744   .0320576     0.57   0.571    -.0446575    .0810062
             Netherlands  |  -.1556613   .0451758    -3.45   0.001    -.2442042   -.0671185
                  Norway  |  -.0600974   .0421631    -1.43   0.154    -.1427355    .0225407
                Portugal  |  -.8323616   .0716978   -11.61   0.000    -.9728867   -.6918365
                  Sweden  |   .0101943   .0450463     0.23   0.821    -.0780949    .0984835
                Bulgaria  |  -1.095959   .2566892    -4.27   0.000     -1.59906   -.5928571
          Czech Republic  |  -1.112627   .2820548    -3.94   0.000    -1.665444   -.5598095
                 Estonia  |  -.0466436   .1690141    -0.28   0.783    -.3779051    .2846179
                 Hungary  |  -.1029261   .2314764    -0.44   0.657    -.5566114    .3507593
                  Latvia  |  -1.124592   .2067798    -5.44   0.000    -1.529873   -.7193107
                  Poland  |   .2813247   .2117015     1.33   0.184    -.1336026    .6962521
                 Romania  |  -1.554653    .203806    -7.63   0.000    -1.954106   -1.155201
                Slovakia  |  -1.206504   .2601887    -4.64   0.000    -1.716465   -.6965435
                Slovenia  |  -.6965885   .2109491    -3.30   0.001    -1.110041   -.2831358
                          |
                  Country |
                 Denmark  |  -2.197837   2.026562    -1.08   0.278    -6.169826    1.774151
                   Spain  |  -7.452072   6.360713    -1.17   0.241    -19.91884    5.014697
                 Finland  |  -3.900888   3.422153    -1.14   0.254    -10.60819    2.806408
                  Greece  |  -8.530222   4.898026    -1.74   0.082    -18.13018    1.069732
                 Ireland  |  -12.64746   2.602143    -4.86   0.000    -17.74756   -7.547352
                 Iceland  |   4.307718   2.499774     1.72   0.085    -.5917488    9.207185
                   Malta  |   .5610677   3.143663     0.18   0.858    -5.600399    6.722535
             Netherlands  |   1.258998   3.495218     0.36   0.719    -5.591503    8.109498
                  Norway  |  -7.705728   2.751243    -2.80   0.005    -13.09807   -2.313392
                Portugal  |   21.32348   4.650458     4.59   0.000     12.20875    30.43821
                  Sweden  |  -4.872205    2.98042    -1.63   0.102    -10.71372    .9693098
                Bulgaria  |   40.78026   15.13257     2.69   0.007     11.12097    70.43956
          Czech Republic  |   46.86009   16.65452     2.81   0.005     14.21782    79.50235
                 Estonia  |  -23.23066   10.53426    -2.21   0.027    -43.87743   -2.583887
                 Hungary  |  -17.31292   14.20372    -1.22   0.223    -45.15169    10.52585
                  Latvia  |   47.19067   13.00377     3.63   0.000     21.70376    72.67759
                  Poland  |  -54.27239   12.41004    -4.37   0.000    -78.59561   -29.94917
                 Romania  |   57.94047   13.11553     4.42   0.000      32.2345    83.64643
                Slovakia  |   53.43964   15.76086     3.39   0.001     22.54892    84.33036
                Slovenia  |   20.97933   12.73005     1.65   0.099    -3.971109    45.92977
                          |
              index_n_w_5 |  -3.064536   .5796983    -5.29   0.000    -4.200724   -1.928348
                    _cons |          0  (omitted)
--------------------------+----------------------------------------------------------------
                      rho |   .2198359
-------------------------------------------------------------------------------------------

added macro:
              e(fixed) : "Yes"

added macro:
     e(country_year_2) : "Yes"

added macro:
               e(year) : "Yes"

Number of gaps in sample = 1
note: computations for rho restarted at each gap.
note: 30.Country#c.Year_since_1945 omitted because of collinearity.
note: the number of observations per panel, e(n_sigma) = 7,
      used to compute the disturbance of covariance matrix e(Sigma)
      is less than half of the average number of observations per panel,
      e(n_avg) = 14.809524; you may want to consider the pairwise option.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        311
Time variable:    Rankleg                       Number of groups  =         21
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          7
Sigma computed by casewise selection                          avg =  14.809524
                                                              max =         28
Estimated covariances      =       231          R-squared         =     0.9004
Estimated autocorrelations =         1          Wald chi2(49)     =   3.14e+07
Estimated coefficients     =        49          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |  -.2176219   .0631162    -3.45   0.001    -.3413273   -.0939164
                Closeness |  -.0804959   .0450581    -1.79   0.074    -.1688081    .0078163
                          |
                 Elsystem |
            Proportional  |    2.67003   2.860519     0.93   0.351    -2.936485    8.276545
                   Mixed  |   1.319363   3.740108     0.35   0.724    -6.011114    8.649839
                          |
                     1.CV |   7.160736   1.489405     4.81   0.000     4.241556    10.07992
                 1.Joint1 |   8.511883   3.091351     2.75   0.006     2.452947    14.57082
                     Year |   .0460543   .0015847    29.06   0.000     .0429484    .0491602
                          |
Country#c.Year_since_1945 |
                 Denmark  |   .0104208   .0305903     0.34   0.733     -.049535    .0703766
                   Spain  |   -.159871   .0900764    -1.77   0.076    -.3364175    .0166755
                 Finland  |  -.2394152   .0668878    -3.58   0.000    -.3705129   -.1083176
                  France  |  -.3471717   .0635439    -5.46   0.000    -.4717155    -.222628
                  Greece  |  -.2141769   .0616201    -3.48   0.001    -.3349502   -.0934037
                 Ireland  |  -.1439782   .0371438    -3.88   0.000    -.2167787   -.0711777
                 Iceland  |  -.1354926   .0227068    -5.97   0.000    -.1799971   -.0909881
                   Malta  |   .0206199   .0316607     0.65   0.515     -.041434    .0826739
             Netherlands  |  -.1555767   .0391654    -3.97   0.000    -.2323394    -.078814
                  Norway  |  -.0574581   .0439438    -1.31   0.191    -.1435864    .0286702
                Portugal  |   -.833314    .066562   -12.52   0.000    -.9637731   -.7028549
                  Sweden  |   .0139725   .0468069     0.30   0.765    -.0777674    .1057124
                Bulgaria  |  -1.088199   .2678266    -4.06   0.000    -1.613129   -.5632685
          Czech Republic  |  -1.103468   .2946907    -3.74   0.000    -1.681051   -.5258849
                 Estonia  |  -.0525283   .1755356    -0.30   0.765    -.3965718    .2915152
                 Hungary  |  -.1179669    .225079    -0.52   0.600    -.5591137    .3231799
                  Latvia  |   -1.12369   .2069936    -5.43   0.000     -1.52939   -.7179903
               Lithuania  |   -.847017   .3740191    -2.26   0.024    -1.580081    -.113953
                 Romania  |  -1.573824   .2192285    -7.18   0.000    -2.003504   -1.144144
                Slovakia  |  -1.209118    .271482    -4.45   0.000    -1.741213   -.6770231
                Slovenia  |  -.7038673    .221801    -3.17   0.002    -1.138589   -.2691454
                          |
                  Country |
                 Denmark  |  -2.101986   1.959144    -1.07   0.283    -5.941837    1.737865
                   Spain  |  -7.624087   5.844558    -1.30   0.192    -19.07921    3.831037
                 Finland  |  -3.555728   3.636812    -0.98   0.328    -10.68375    3.572293
                  Greece  |  -8.602915   4.519529    -1.90   0.057    -17.46103    .2551991
                 Ireland  |  -12.84001   2.688269    -4.78   0.000    -18.10893   -7.571103
                 Iceland  |   4.344664   2.571743     1.69   0.091    -.6958602    9.385188
                   Malta  |   .1341512   3.209954     0.04   0.967    -6.157243    6.425545
             Netherlands  |   1.524117   3.199362     0.48   0.634    -4.746516    7.794751
                  Norway  |   -7.64934   2.824063    -2.71   0.007     -13.1844   -2.114277
                Portugal  |    21.3465   4.185287     5.10   0.000     13.14348    29.54951
                  Sweden  |   -4.93187   3.107787    -1.59   0.113    -11.02302    1.159281
                Bulgaria  |   40.40522   15.66485     2.58   0.010     9.702672    71.10776
          Czech Republic  |   46.55549   17.42037     2.67   0.008      12.4122    80.69877
                 Estonia  |  -22.55191   10.93373    -2.06   0.039    -43.98162   -1.122201
                 Hungary  |  -16.36435   13.92747    -1.17   0.240     -43.6617    10.93299
                  Latvia  |   47.53237   13.09969     3.63   0.000     21.85745    73.20729
               Lithuania  |   20.05435   22.64304     0.89   0.376    -24.32519    64.43388
                 Romania  |   59.24218   14.09935     4.20   0.000     31.60796     86.8764
                Slovakia  |   53.85891   16.39051     3.29   0.001     21.73409    85.98372
                Slovenia  |   21.66636    13.4021     1.62   0.106    -4.601268    47.93399
                          |
              index_n_w_5 |  -3.014279   .5958987    -5.06   0.000    -4.182219   -1.846339
                    _cons |          0  (omitted)
--------------------------+----------------------------------------------------------------
                      rho |   .2032122
-------------------------------------------------------------------------------------------

added macro:
              e(fixed) : "Yes"

added macro:
     e(country_year_2) : "Yes"

added macro:
               e(year) : "Yes"

Number of gaps in sample = 1
note: computations for rho restarted at each gap.
note: 30.Country#c.Year_since_1945 omitted because of collinearity.
note: the number of observations per panel, e(n_sigma) = 7,
      used to compute the disturbance of covariance matrix e(Sigma)
      is less than half of the average number of observations per panel,
      e(n_avg) = 14.857143; you may want to consider the pairwise option.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        312
Time variable:    Rankleg                       Number of groups  =         21
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          7
Sigma computed by casewise selection                          avg =  14.857143
                                                              max =         28
Estimated covariances      =       231          R-squared         =     0.8989
Estimated autocorrelations =         1          Wald chi2(49)     =   3.23e+07
Estimated coefficients     =        49          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |  -.2482744   .0679983    -3.65   0.000    -.3815486   -.1150002
                Closeness |  -.1284928   .0525886    -2.44   0.015    -.2315646    -.025421
                          |
                 Elsystem |
            Proportional  |   2.972264   2.773348     1.07   0.284    -2.463398    8.407927
                   Mixed  |   2.063993   4.034937     0.51   0.609    -5.844337    9.972324
                          |
                     1.CV |   6.855506   1.467001     4.67   0.000     3.980237    9.730775
                 1.Joint1 |     9.0751   3.349915     2.71   0.007     2.509388    15.64081
                     Year |   .0461216   .0015416    29.92   0.000        .0431    .0491431
                          |
Country#c.Year_since_1945 |
                 Denmark  |    .005567   .0302403     0.18   0.854     -.053703    .0648369
                   Spain  |  -.1563016    .091397    -1.71   0.087    -.3354363    .0228332
                 Finland  |  -.2375032   .0670501    -3.54   0.000    -.3689189   -.1060875
                  France  |  -.3420841    .061759    -5.54   0.000    -.4631296   -.2210387
                  Greece  |  -.2406764   .0643591    -3.74   0.000     -.366818   -.1145349
                 Ireland  |  -.1464172   .0356715    -4.10   0.000    -.2163321   -.0765024
                 Iceland  |   -.137615   .0226805    -6.07   0.000     -.182068   -.0931619
                   Malta  |   .0257616   .0307803     0.84   0.403    -.0345666    .0860899
             Netherlands  |  -.1583499   .0383314    -4.13   0.000     -.233478   -.0832218
                  Norway  |  -.0665522   .0437687    -1.52   0.128    -.1523372    .0192329
                Portugal  |  -.8434382   .0650739   -12.96   0.000    -.9709808   -.7158956
                  Sweden  |   .0085764   .0483378     0.18   0.859     -.086164    .1033168
                Bulgaria  |  -1.085726   .2596186    -4.18   0.000    -1.594569   -.5768825
          Czech Republic  |  -1.123678   .3063748    -3.67   0.000    -1.724161   -.5231943
                 Estonia  |  -.0520785   .1822593    -0.29   0.775    -.4093002    .3051432
                 Hungary  |  -.0961008    .232427    -0.41   0.679    -.5516494    .3594477
                  Latvia  |  -1.139554   .2128267    -5.35   0.000    -1.556687   -.7224213
               Lithuania  |  -.8608887    .367844    -2.34   0.019     -1.58185   -.1399277
                  Poland  |    .242462   .2134421     1.14   0.256    -.1758769    .6608008
                Slovakia  |  -1.212815   .2686473    -4.51   0.000    -1.739354   -.6862758
                Slovenia  |  -.7170503   .2192003    -3.27   0.001    -1.146675   -.2874255
                          |
                  Country |
                 Denmark  |  -1.431599   2.036378    -0.70   0.482    -5.422827    2.559629
                   Spain  |  -7.637269   5.933849    -1.29   0.198     -19.2674    3.992861
                 Finland  |  -3.245275   3.628852    -0.89   0.371    -10.35769    3.867145
                  Greece  |  -7.058826   4.432688    -1.59   0.111    -15.74674    1.629084
                 Ireland  |  -12.46276   2.703995    -4.61   0.000    -17.76249   -7.163022
                 Iceland  |   4.887033   2.527274     1.93   0.053    -.0663318    9.840399
                   Malta  |  -.3138455   3.175643    -0.10   0.921    -6.537991      5.9103
             Netherlands  |   1.935124   3.141446     0.62   0.538    -4.221997    8.092245
                  Norway  |  -6.618416   2.812267    -2.35   0.019    -12.13036   -1.106475
                Portugal  |   22.11402   4.106338     5.39   0.000     14.06574    30.16229
                  Sweden  |  -3.997312   3.206312    -1.25   0.213    -10.28157    2.286944
                Bulgaria  |   40.56594   15.30341     2.65   0.008      10.5718    70.56008
          Czech Republic  |   48.30847   18.11295     2.67   0.008     12.80774     83.8092
                 Estonia  |   -22.2338   11.29941    -1.97   0.049    -44.38023   -.0873765
                 Hungary  |  -17.66128   14.42191    -1.22   0.221     -45.9277    10.60514
                  Latvia  |    49.0079   13.42831     3.65   0.000     22.68888    75.32691
               Lithuania  |   20.92113   21.88337     0.96   0.339    -21.96949    63.81174
                  Poland  |   -51.4882     12.588    -4.09   0.000    -76.16023   -26.81616
                Slovakia  |   54.77153   16.21606     3.38   0.001     22.98864    86.55442
                Slovenia  |     22.663   13.18003     1.72   0.086    -3.169375    48.49538
                          |
              index_n_w_5 |   -2.77294   .6084807    -4.56   0.000     -3.96554    -1.58034
                    _cons |          0  (omitted)
--------------------------+----------------------------------------------------------------
                      rho |   .2076629
-------------------------------------------------------------------------------------------

added macro:
              e(fixed) : "Yes"

added macro:
     e(country_year_2) : "Yes"

added macro:
               e(year) : "Yes"

Number of gaps in sample = 1
note: computations for rho restarted at each gap.
note: 30.Country#c.Year_since_1945 omitted because of collinearity.
note: the number of observations per panel, e(n_sigma) = 7,
      used to compute the disturbance of covariance matrix e(Sigma)
      is less than half of the average number of observations per panel,
      e(n_avg) = 14.809524; you may want to consider the pairwise option.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        311
Time variable:    Rankleg                       Number of groups  =         21
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          7
Sigma computed by casewise selection                          avg =  14.809524
                                                              max =         28
Estimated covariances      =       231          R-squared         =     0.9070
Estimated autocorrelations =         1          Wald chi2(49)     =   3.02e+07
Estimated coefficients     =        49          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |  -.2254799   .0625659    -3.60   0.000    -.3481067   -.1028531
                Closeness |  -.0611739   .0446694    -1.37   0.171    -.1487244    .0263765
                          |
                 Elsystem |
            Proportional  |   2.914888   2.827267     1.03   0.303    -2.626452    8.456229
                   Mixed  |   1.342821   3.732279     0.36   0.719    -5.972311    8.657954
                          |
                     1.CV |   7.249092   1.432819     5.06   0.000     4.440819    10.05737
                 1.Joint1 |   8.446242   3.066682     2.75   0.006     2.435655    14.45683
                     Year |   .0457254   .0016028    28.53   0.000     .0425839    .0488669
                          |
Country#c.Year_since_1945 |
                 Denmark  |   .0145023    .030711     0.47   0.637    -.0456902    .0746947
                   Spain  |  -.1622138   .0935152    -1.73   0.083    -.3455002    .0210725
                 Finland  |  -.2360581   .0672803    -3.51   0.000     -.367925   -.1041911
                  France  |  -.3457021   .0638943    -5.41   0.000    -.4709327   -.2204715
                  Greece  |  -.2072103   .0589498    -3.52   0.000    -.3227498   -.0916708
                 Ireland  |  -.1411607    .037732    -3.74   0.000    -.2151141   -.0672072
                 Iceland  |  -.1321142   .0222835    -5.93   0.000     -.175789   -.0884393
                   Malta  |   .0169813   .0328133     0.52   0.605    -.0473315    .0812941
             Netherlands  |  -.1553037   .0375702    -4.13   0.000    -.2289399   -.0816675
                  Norway  |  -.0479254   .0439616    -1.09   0.276    -.1340886    .0382378
                Portugal  |   -.834741   .0687291   -12.15   0.000    -.9694475   -.7000345
                  Sweden  |   .0223927   .0466739     0.48   0.631    -.0690865    .1138719
                Bulgaria  |  -1.101508   .2814554    -3.91   0.000     -1.65315   -.5498655
          Czech Republic  |  -1.096153   .2906453    -3.77   0.000    -1.665807   -.5264988
                 Estonia  |   -.045396   .1748811    -0.26   0.795    -.3881566    .2973645
                 Hungary  |  -.1369737   .2312015    -0.59   0.554    -.5901202    .3161729
                  Latvia  |  -1.128383   .2039521    -5.53   0.000    -1.528122   -.7286441
               Lithuania  |  -.8150499   .3759796    -2.17   0.030    -1.551956   -.0781435
                  Poland  |   .2367982    .214286     1.11   0.269    -.1831947    .6567912
                 Romania  |  -1.576713   .2122214    -7.43   0.000    -1.992659   -1.160767
                Slovenia  |  -.7361837    .222621    -3.31   0.001    -1.172513   -.2998545
                          |
                  Country |
                 Denmark  |  -2.135065   1.975535    -1.08   0.280    -6.007043    1.736913
                   Spain  |  -7.379655   6.032995    -1.22   0.221    -19.20411    4.444797
                 Finland  |  -3.265484   3.638396    -0.90   0.369    -10.39661     3.86564
                  Greece  |  -8.954242   4.285079    -2.09   0.037    -17.35284    -.555641
                 Ireland  |  -12.89945   2.710692    -4.76   0.000    -18.21231    -7.58659
                 Iceland  |   4.339188   2.583521     1.68   0.093    -.7244199    9.402795
                   Malta  |   .5605369    3.26062     0.17   0.864    -5.830161    6.951234
             Netherlands  |   1.788827   3.174881     0.56   0.573    -4.433825     8.01148
                  Norway  |  -7.882482   2.817356    -2.80   0.005     -13.4044   -2.360566
                Portugal  |   21.45768   4.227917     5.08   0.000     13.17111    29.74424
                  Sweden  |  -5.214839   3.028507    -1.72   0.085     -11.1506    .7209264
                Bulgaria  |   41.26337   16.38849     2.52   0.012     9.142521    73.38422
          Czech Republic  |   46.35838   17.23023     2.69   0.007     12.58774    80.12901
                 Estonia  |  -22.65779   10.87448    -2.08   0.037    -43.97139   -1.344193
                 Hungary  |  -14.87939   14.33958    -1.04   0.299    -42.98444    13.22567
                  Latvia  |   48.18941   12.92506     3.73   0.000     22.85675    73.52206
               Lithuania  |   18.56504   22.73174     0.82   0.414    -25.98836    63.11844
                  Poland  |  -51.41955   12.63764    -4.07   0.000    -76.18888   -26.65023
                 Romania  |   59.26766   13.70519     4.32   0.000     32.40598    86.12935
                Slovenia  |   23.58556   13.45398     1.75   0.080    -2.783744    49.95487
                          |
              index_n_w_5 |  -2.716701   .6038575    -4.50   0.000     -3.90024   -1.533162
                    _cons |          0  (omitted)
--------------------------+----------------------------------------------------------------
                      rho |    .222043
-------------------------------------------------------------------------------------------

added macro:
              e(fixed) : "Yes"

added macro:
     e(country_year_2) : "Yes"

added macro:
               e(year) : "Yes"

Number of gaps in sample = 1
note: computations for rho restarted at each gap.
note: 29.Country#c.Year_since_1945 omitted because of collinearity.
note: the number of observations per panel, e(n_sigma) = 7,
      used to compute the disturbance of covariance matrix e(Sigma)
      is less than half of the average number of observations per panel,
      e(n_avg) = 14.857143; you may want to consider the pairwise option.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        312
Time variable:    Rankleg                       Number of groups  =         21
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          7
Sigma computed by casewise selection                          avg =  14.857143
                                                              max =         28
Estimated covariances      =       231          R-squared         =     0.9027
Estimated autocorrelations =         1          Wald chi2(49)     =   2.59e+07
Estimated coefficients     =        49          Prob > chi2       =     0.0000

-------------------------------------------------------------------------------------------
                          |           Panel-corrected
                  Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                 Majority |  -.2301665   .0636094    -3.62   0.000    -.3548386   -.1054944
                Closeness |  -.0786189   .0471026    -1.67   0.095    -.1709383    .0137004
                          |
                 Elsystem |
            Proportional  |   2.930537   2.856005     1.03   0.305     -2.66713    8.528203
                   Mixed  |   1.224699   3.870177     0.32   0.752    -6.360708    8.810107
                          |
                     1.CV |   7.201197   1.458337     4.94   0.000     4.342909    10.05949
                 1.Joint1 |   6.934762   3.928194     1.77   0.077    -.7643565    14.63388
                     Year |   .0459274   .0016264    28.24   0.000     .0427397    .0491151
                          |
Country#c.Year_since_1945 |
                 Denmark  |   .0123378   .0310028     0.40   0.691    -.0484266    .0731022
                   Spain  |  -.1602523   .0935287    -1.71   0.087    -.3435653    .0230607
                 Finland  |  -.2364083   .0680444    -3.47   0.001    -.3697729   -.1030437
                  France  |  -.3445907   .0644687    -5.35   0.000     -.470947   -.2182343
                  Greece  |  -.2076818   .0621872    -3.34   0.001    -.3295665   -.0857971
                 Ireland  |  -.1416825   .0377527    -3.75   0.000    -.2156764   -.0676885
                 Iceland  |  -.1332084   .0227111    -5.87   0.000    -.1777214   -.0886955
                   Malta  |   .0202371   .0321434     0.63   0.529    -.0427627    .0832369
             Netherlands  |  -.1536028   .0385695    -3.98   0.000    -.2291976    -.078008
                  Norway  |  -.0528411   .0445305    -1.19   0.235    -.1401193    .0344371
                Portugal  |  -.8359827   .0683045   -12.24   0.000     -.969857   -.7021084
                  Sweden  |   .0183373   .0473529     0.39   0.699    -.0744727    .1111473
                Bulgaria  |  -1.096178   .2793487    -3.92   0.000    -1.643691   -.5486644
          Czech Republic  |  -1.100907   .2967389    -3.71   0.000    -1.682504   -.5193093
                 Estonia  |  -.0879445   .1851203    -0.48   0.635    -.4507737    .2748847
                 Hungary  |  -.1260131   .2313363    -0.54   0.586    -.5794239    .3273977
                  Latvia  |  -1.130111   .2083978    -5.42   0.000    -1.538564   -.7216593
               Lithuania  |  -.8359523   .3780866    -2.21   0.027    -1.576988   -.0949162
                  Poland  |   .2426669   .2160484     1.12   0.261    -.1807802     .666114
                 Romania  |  -1.647786   .2429662    -6.78   0.000    -2.123991   -1.171581
                Slovakia  |  -1.215881   .2809791    -4.33   0.000     -1.76659   -.6651717
                          |
                  Country |
                 Denmark  |  -2.087615   2.034366    -1.03   0.305      -6.0749    1.899669
                   Spain  |  -7.564883   6.039323    -1.25   0.210    -19.40174    4.271973
                 Finland  |  -3.419325   3.668589    -0.93   0.351    -10.60963    3.770978
                  Greece  |  -8.979566   4.486172    -2.00   0.045     -17.7723   -.1868317
                 Ireland  |  -12.94744    2.75808    -4.69   0.000    -18.35318   -7.541702
                 Iceland  |   4.324327   2.635315     1.64   0.101    -.8407958    9.489449
                   Malta  |   .1120406   3.262957     0.03   0.973    -6.283237    6.507318
             Netherlands  |   1.593648   3.214946     0.50   0.620     -4.70753    7.894827
                  Norway  |  -7.743113   2.891289    -2.68   0.007    -13.40994    -2.07629
                Portugal  |   21.47561   4.286358     5.01   0.000      13.0745    29.87671
                  Sweden  |  -5.063001    3.16269    -1.60   0.109    -11.26176    1.135757
                Bulgaria  |   40.97903   16.33766     2.51   0.012     8.957803    73.00026
          Czech Republic  |    46.5989   17.59073     2.65   0.008     12.12171    81.07609
                 Estonia  |  -19.98869   11.65714    -1.71   0.086    -42.83627    2.858891
                 Hungary  |  -15.46284   14.33482    -1.08   0.281    -43.55856    12.63288
                  Latvia  |   48.18859   13.20977     3.65   0.000     22.29791    74.07927
               Lithuania  |   19.94427    22.9106     0.87   0.384    -24.95969    64.84823
                  Poland  |  -51.75496   12.72516    -4.07   0.000     -76.6958   -26.81411
                 Romania  |   64.52359    16.2521     3.97   0.000     32.67006    96.37712
                Slovakia  |   54.37254   16.97243     3.20   0.001     21.10718    87.63789
                          |
              index_n_w_5 |   -2.87149   .6341431    -4.53   0.000    -4.114388   -1.628592
                    _cons |          0  (omitted)
--------------------------+----------------------------------------------------------------
                      rho |   .2270731
-------------------------------------------------------------------------------------------

added macro:
              e(fixed) : "Yes"

added macro:
     e(country_year_2) : "Yes"

added macro:
               e(year) : "Yes"

. 
. 
. esttab M1 M2 M3 M4 M5 M6 M7 M8 M9 M10 M11 M12 using A_Table_4.tex, one incelldelimite("\:")  stats(year country_year_2 fixed N 
> r2, ///
>  labels("Time Trend" "Country-Specific Time Trend" "Country FE" "N" "R2") layout("\multicolumn{1}{c}{@}" ///
> "\multicolumn{1}{c}{@}" "\multicolumn{1}{c}{@}" "\multicolumn{1}{c}{$@$}" "\multicolumn{1}{c}{$@$}")  fmt(0 0 2)) replace b(2) 
> ///
>  se(2) wide staraux ///
>                 star(* 0.05 ** 0.01 *** 0.001) eqlabels(none) order(Majority Closeness *.Elsystem *.CV 1.Joint1 Year  index_n_w
> _5) ///
>                 drop(*.Country* 1.Elsystem 0.CV 0.Joint1) varlabels( 2.Elsystem  "El. System: Proportional" 3.Elsystem  "El. Sy
> stem: Mixed " c.Year#c.Year "Year^2" 1.CV "Compulsory Voting" 1.Joint1 ///
>                 "Concurrent Elections" _cons "Constant",  )   label /// elist(c.Year#c.Year   \hline )
>                 nodep refcat(Majority "\textit{Controls:}"  index_n_w_5  "\textit{Election Frequency:}", nolabel) ///   nobase
>                 nonumbers nolegend note("") ///
>                 mtitles("\shortstack{\\Without\\Denmark}" "\shortstack{\\Without\\Spain}"  "\shortstack{\\Without\\Finland}"  "
> \shortstack{\\Without\\France}"  "\shortstack{\\Without\\Greece}"  "\shortstack{\\Without\\Ireland}" ///
>                 "\shortstack{\\Without\\Iceland}" "\shortstack{\\Without\\Malta}" "\shortstack{\\Without\\Netherlands}"  "\shor
> tstack{\\Without\\Norway}"  "\shortstack{\\Without\\Portugal}"  "\shortstack{\\Without\\Sweden}") ///
>                 alignment(d{10})
(output written to A_Table_4.tex)

. 
. esttab M21 M22 M23 M24 M25 M26 M27 M28 M29 M30 using A_Table_5.tex, one incelldelimite("\:")  stats(year country_year_2 fixed N
>  r2, ///
>  labels("Time Trend" "Country-Specific Time Trend" "Country FE" "N" "R2") layout("\multicolumn{1}{c}{@}" ///
> "\multicolumn{1}{c}{@}" "\multicolumn{1}{c}{@}" "\multicolumn{1}{c}{$@$}" "\multicolumn{1}{c}{$@$}")  fmt(0 0 2))  replace b(2)
>  se(2) wide staraux ///
>                 star(* 0.05 ** 0.01 *** 0.001) eqlabels(none) order(Majority Closeness *.Elsystem *.CV 1.Joint1  Year index_n_w
> _5) ///
>                 drop(*.Country* 1.Elsystem 0.CV 0.Joint1) varlabels( 2.Elsystem  "El. System: Proportional" 3.Elsystem  "El. Sy
> stem: Mixed " c.Year#c.Year "Year^2" 1.CV "Compulsory Voting" 1.Joint1 ///
>                 "Concurrent Elections" _cons "Constant", ) label ///  
>                 nodep refcat(Majority "\textit{Controls:}"  index_n_w_5  "\textit{Election Frequency:}", nolabel) ///    
>                 nonumbers nolegend note("") ///
>                 mtitles("\shortstack{\\Without\\Bulgaria}" "\shortstack{\\Without\\Czech Rep.}"  "\shortstack{\\Without\\Estoni
> a}"  "\shortstack{\\Without\\Hungary}"  "\shortstack{\\Without\\Latvia}"  "\shortstack{\\Without\\Lithuania}" ///
>                 "\shortstack{\\Without\\Poland}" "\shortstack{\\Without\\Romania}"  "\shortstack{\\Without\\Slovakia}"  "\short
> stack{\\Without\\Slovenia}") ///
>                 alignment(d{10})
(output written to A_Table_5.tex)

.  
. 
. ***** Diagnostics 
. tsset Country Rankleg

Panel variable: Country (unbalanced)
 Time variable: Rankleg, 1 to 28
         Delta: 1 unit

. tab Country, gen(country)

       Country |      Freq.     Percent        Cum.
---------------+-----------------------------------
       Denmark |         72        5.82        5.82
         Spain |         82        6.63       12.45
       Finland |         66        5.34       17.78
        France |        147       11.88       29.67
        Greece |         54        4.37       34.03
       Ireland |         70        5.66       39.69
       Iceland |         69        5.58       45.27
         Malta |         37        2.99       48.26
   Netherlands |         74        5.98       54.24
        Norway |         43        3.48       57.72
      Portugal |         64        5.17       62.89
        Sweden |         42        3.40       66.29
      Bulgaria |         43        3.48       69.77
Czech Republic |         45        3.64       73.40
       Estonia |         28        2.26       75.67
       Hungary |         35        2.83       78.50
        Latvia |         31        2.51       81.00
     Lithuania |         46        3.72       84.72
        Poland |         47        3.80       88.52
       Romania |         41        3.31       91.84
      Slovakia |         47        3.80       95.63
      Slovenia |         54        4.37      100.00
---------------+-----------------------------------
         Total |      1,237      100.00

. tab Elsystem, gen(elsys)

   Electoral |
      system |      Freq.     Percent        Cum.
-------------+-----------------------------------
Majoritarian |        245       28.06       28.06
Proportional |        602       68.96       97.02
       Mixed |         26        2.98      100.00
-------------+-----------------------------------
       Total |        873      100.00

. foreach lname in country1 country2 country3 country4 country5 country6 country7 country8 country9 country10 country11 country12
>  country13 country14 country15 ///
> country16 country17 country18 country19 country20 country21 country22 {
  2. gen Year_`lname' = `lname' * Year 
  3. }

.  
. 
. xtreg Turnout Majority Closeness elsys* CV Joint1 Year index_n_w_5 if Rankleg !=. , fe 
note: elsys3 omitted because of collinearity.

Fixed-effects (within) regression               Number of obs     =        320
Group variable: Country                         Number of groups  =         22

R-squared:                                      Obs per group:
     Within  = 0.4649                                         min =          7
     Between = 0.2120                                         avg =       14.5
     Overall = 0.3124                                         max =         28

                                                F(8,290)          =      31.50
corr(u_i, Xb) = 0.0805                          Prob > F          =     0.0000

------------------------------------------------------------------------------
     Turnout | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
    Majority |  -.2182864   .0742844    -2.94   0.004    -.3644913   -.0720816
   Closeness |  -.0890865   .0554116    -1.61   0.109    -.1981464    .0199733
      elsys1 |  -8.020561    4.36765    -1.84   0.067    -16.61687    .5757507
      elsys2 |  -.6463448   3.141848    -0.21   0.837    -6.830061    5.537371
      elsys3 |          0  (omitted)
          CV |    6.84587   2.112154     3.24   0.001     2.688775    11.00297
      Joint1 |   21.43798   3.369899     6.36   0.000     14.80542    28.07054
        Year |  -.1234305   .0227035    -5.44   0.000    -.1681151   -.0787459
 index_n_w_5 |  -5.209598   .7142913    -7.29   0.000     -6.61545   -3.803745
       _cons |   328.6939   44.83329     7.33   0.000      240.454    416.9338
-------------+----------------------------------------------------------------
     sigma_u |  9.8252377
     sigma_e |  5.9466706
         rho |  .73189252   (fraction of variance due to u_i)
------------------------------------------------------------------------------
F test that all u_i=0: F(21, 290) = 22.00                    Prob > F = 0.0000

. estimates store fixed

. xtreg Turnout Majority Closeness elsys* CV Joint1 Year  index_n_w_5 if Rankleg !=. , re 
note: elsys3 omitted because of collinearity.

Random-effects GLS regression                   Number of obs     =        320
Group variable: Country                         Number of groups  =         22

R-squared:                                      Obs per group:
     Within  = 0.4600                                         min =          7
     Between = 0.4188                                         avg =       14.5
     Overall = 0.3892                                         max =         28

                                                Wald chi2(8)      =     254.55
corr(u_i, X) = 0 (assumed)                      Prob > chi2       =     0.0000

------------------------------------------------------------------------------
     Turnout | Coefficient  Std. err.      z    P>|z|     [95% conf. interval]
-------------+----------------------------------------------------------------
    Majority |  -.2344322   .0733851    -3.19   0.001    -.3782643   -.0906002
   Closeness |  -.1123614   .0556999    -2.02   0.044    -.2215311   -.0031916
      elsys1 |   -2.95662   4.015053    -0.74   0.461    -10.82598    4.912739
      elsys2 |   3.346255   2.775656     1.21   0.228     -2.09393    8.786441
      elsys3 |          0  (omitted)
          CV |    6.00804   2.110048     2.85   0.004     1.872421    10.14366
      Joint1 |   17.79695   3.258183     5.46   0.000     11.41103    24.18287
        Year |  -.1362218   .0226704    -6.01   0.000     -.180655   -.0917886
 index_n_w_5 |  -5.362339   .7173025    -7.48   0.000    -6.768226   -3.956452
       _cons |   348.7243   44.97601     7.75   0.000     260.5729    436.8756
-------------+----------------------------------------------------------------
     sigma_u |  7.1615742
     sigma_e |  5.9466706
         rho |  .59189304   (fraction of variance due to u_i)
------------------------------------------------------------------------------

. estimates store random

. hausman fixed random , sigmamore

                 ---- Coefficients ----
             |      (b)          (B)            (b-B)     sqrt(diag(V_b-V_B))
             |     fixed        random       Difference       Std. err.
-------------+----------------------------------------------------------------
    Majority |   -.2182864    -.2344322        .0161458        .0189123
   Closeness |   -.0890865    -.1123614        .0232748        .0096483
      elsys1 |   -8.020561     -2.95662        -5.06394        1.932123
      elsys2 |   -.6463448     3.346255         -3.9926        1.602875
          CV |     6.84587      6.00804        .8378303        .4366801
      Joint1 |    21.43798     17.79695         3.64103        1.096923
        Year |   -.1234305    -.1362218        .0127913        .0047444
 index_n_w_5 |   -5.209598    -5.362339        .1527417        .1283784
------------------------------------------------------------------------------
                          b = Consistent under H0 and Ha; obtained from xtreg.
           B = Inconsistent under Ha, efficient under H0; obtained from xtreg.

Test of H0: Difference in coefficients not systematic

    chi2(8) = (b-B)'[(V_b-V_B)^(-1)](b-B)
            =  19.85
Prob > chi2 = 0.0109

. 
. 
. * Tests for autocorrelation  (the null hypothesis is that there is no correlation)
. cap net install st0039

. xtserial Turnout Majority Closeness elsys* CV Year Year_* country* index_n_w_5 if Rankleg !=. // p = 0.0448  

Wooldridge test for autocorrelation in panel data
H0: no first order autocorrelation
    F(  1,      21) =      4.554
           Prob > F =      0.0448

.                 
. ******* Tests non-stationarity (the null hypothesis = all panels contain unit roots, are not stationary), p values:  
. xtunitroot fisher Turnout if Rankleg !=., pperron lags(1)  
(48 missing values generated)

Fisher-type unit-root test for Turnout
Based on Phillips–Perron tests
--------------------------------------
H0: All panels contain unit roots           Number of panels       =     22
Ha: At least one panel is stationary        Avg. number of periods =  14.59

AR parameter:    Panel-specific             Asymptotics: T -> Infinity
Panel means:     Included
Time trend:      Not included
Newey–West lags: 1 lag
------------------------------------------------------------------------------
                                  Statistic      p-value
------------------------------------------------------------------------------
 Inverse chi-squared(44)   P       131.4140       0.0000
 Inverse normal            Z        -4.2609       0.0000
 Inverse logit t(114)      L*       -5.6603       0.0000
 Modified inv. chi-squared Pm        9.3184       0.0000
------------------------------------------------------------------------------
 P statistic requires number of panels to be finite.
 Other statistics are suitable for finite or infinite number of panels.
------------------------------------------------------------------------------

. xtunitroot fisher Turnout if Rankleg !=. , pperron lags(2)  
(48 missing values generated)

Fisher-type unit-root test for Turnout
Based on Phillips–Perron tests
--------------------------------------
H0: All panels contain unit roots           Number of panels       =     22
Ha: At least one panel is stationary        Avg. number of periods =  14.59

AR parameter:    Panel-specific             Asymptotics: T -> Infinity
Panel means:     Included
Time trend:      Not included
Newey–West lags: 2 lags
------------------------------------------------------------------------------
                                  Statistic      p-value
------------------------------------------------------------------------------
 Inverse chi-squared(44)   P       188.3225       0.0000
 Inverse normal            Z        -5.4624       0.0000
 Inverse logit t(114)      L*       -8.9968       0.0000
 Modified inv. chi-squared Pm       15.3848       0.0000
------------------------------------------------------------------------------
 P statistic requires number of panels to be finite.
 Other statistics are suitable for finite or infinite number of panels.
------------------------------------------------------------------------------

. xtunitroot fisher Turnout if Rankleg !=., pperron lags(3)  
(48 missing values generated)

Fisher-type unit-root test for Turnout
Based on Phillips–Perron tests
--------------------------------------
H0: All panels contain unit roots           Number of panels       =     22
Ha: At least one panel is stationary        Avg. number of periods =  14.59

AR parameter:    Panel-specific             Asymptotics: T -> Infinity
Panel means:     Included
Time trend:      Not included
Newey–West lags: 3 lags
------------------------------------------------------------------------------
                                  Statistic      p-value
------------------------------------------------------------------------------
 Inverse chi-squared(44)   P       213.1779       0.0000
 Inverse normal            Z        -6.0083       0.0000
 Inverse logit t(114)      L*      -10.5145       0.0000
 Modified inv. chi-squared Pm       18.0344       0.0000
------------------------------------------------------------------------------
 P statistic requires number of panels to be finite.
 Other statistics are suitable for finite or infinite number of panels.
------------------------------------------------------------------------------

. 
. ***********Tests for contemporaneous correlation (the null hypothesis is no contemporaneous correlation) 
. xtreg Turnout Majority Closeness elsys* CV Joint1 Year Year_* index_n_w_5 if Rankleg !=. , fe 
note: elsys3 omitted because of collinearity.
note: Year_since_1945 omitted because of collinearity.
note: Year_country22 omitted because of collinearity.

Fixed-effects (within) regression               Number of obs     =        320
Group variable: Country                         Number of groups  =         22

R-squared:                                      Obs per group:
     Within  = 0.7752                                         min =          7
     Between = 0.1486                                         avg =       14.5
     Overall = 0.1499                                         max =         28

                                                F(29,269)         =      31.99
corr(u_i, Xb) = -0.9999                         Prob > F          =     0.0000

---------------------------------------------------------------------------------
        Turnout | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
       Majority |  -.2227964   .0557019    -4.00   0.000    -.3324635   -.1131294
      Closeness |  -.0777967    .039901    -1.95   0.052    -.1563547    .0007612
         elsys1 |  -.2145522   3.475334    -0.06   0.951    -7.056866    6.627762
         elsys2 |   1.555231   2.329431     0.67   0.505    -3.031003    6.141466
         elsys3 |          0  (omitted)
             CV |   6.816556   2.472928     2.76   0.006     1.947801    11.68531
         Joint1 |   8.789556   3.208461     2.74   0.007     2.472667    15.10644
           Year |  -.6538723   .1946039    -3.36   0.001    -1.037013   -.2707319
Year_since_1945 |          0  (omitted)
  Year_country1 |   .7135025    .197646     3.61   0.000     .3243727    1.102632
  Year_country2 |   .5468482   .2067693     2.64   0.009     .1397561    .9539402
  Year_country3 |   .4502056   .1995262     2.26   0.025      .057374    .8430373
  Year_country4 |   .3463067   .2006715     1.73   0.086    -.0487797    .7413931
  Year_country5 |   .4793327   .2223658     2.16   0.032      .041534    .9171314
  Year_country6 |   .5541778   .1989619     2.79   0.006     .1624572    .9458985
  Year_country7 |   .5633676    .197852     2.85   0.005     .1738323    .9529028
  Year_country8 |   .7193493   .2066063     3.48   0.001     .3125782     1.12612
  Year_country9 |   .5296903   .2015209     2.63   0.009     .1329315    .9264492
 Year_country10 |   .6397585   .1997829     3.20   0.002     .2464214    1.033096
 Year_country11 |  -.1214473   .2052719    -0.59   0.555     -.525591    .2826965
 Year_country12 |   .7133433   .1999742     3.57   0.000     .3196297    1.107057
 Year_country13 |  -.3876711   .2311257    -1.68   0.095    -.8427166    .0673743
 Year_country14 |  -.3842693   .2436133    -1.58   0.116    -.8639005    .0953619
 Year_country15 |   .6563429   .2399299     2.74   0.007     .1839637    1.128722
 Year_country16 |   .5562344   .2527213     2.20   0.029     .0586711    1.053798
 Year_country17 |  -.3867056   .2496429    -1.55   0.123    -.8782081    .1047968
 Year_country18 |  -.0834165   .2811888    -0.30   0.767    -.6370272    .4701941
 Year_country19 |   .9446162   .2425163     3.90   0.000     .4671448    1.422088
 Year_country20 |  -.8574341   .2528908    -3.39   0.001    -1.355331   -.3595372
 Year_country21 |  -.5250692   .2405039    -2.18   0.030    -.9985787   -.0515598
 Year_country22 |          0  (omitted)
    index_n_w_5 |   -3.01003   .5444019    -5.53   0.000    -4.081861     -1.9382
          _cons |   648.0657   43.08121    15.04   0.000     563.2464    732.8849
----------------+----------------------------------------------------------------
        sigma_u |  1007.7629
        sigma_e |  4.0017814
            rho |  .99998423   (fraction of variance due to u_i)
---------------------------------------------------------------------------------
F test that all u_i=0: F(21, 269) = 17.48                    Prob > F = 0.0000

. xtcsd, pesaran //Pr = 0.0017
 
 
Pesaran's test of cross sectional independence =     3.213, Pr = 0.0013

. 
. 
. ****Descriptive statistics***
. 
.         tabstat Turnout Year Majority Closeness elsys1 elsys2 elsys3 CV Joint1 snap index_nofel_0_35d index_nofel_0_5 index_nof
> el_1_2 index_nofel_3_4 index_nofel_5 index_n_w_5 index_w_5 index_w_5b  index_n_w_FOE_5  /// 
>         index_n_w_SOE_5 index_n_w_national_5 index_n_w_referendum_5     index_n_w_supranational_5 index_n_w_subnational_5  ///
>         if Rankleg !=.& Closeness!=., stat(count mean sd min max ) c(s) format(%9.2f)    

    Variable |         N      Mean        SD       Min       Max
-------------+--------------------------------------------------
     Turnout |    320.00     75.31     12.71     39.20     96.79
        Year |    320.00   1989.67     20.55   1945.00   2019.00
    Majority |    320.00     14.49      8.55      0.10     37.68
   Closeness |    320.00     10.82      9.03      0.00     59.08
      elsys1 |    320.00      0.04      0.20      0.00      1.00
      elsys2 |    320.00      0.89      0.31      0.00      1.00
      elsys3 |    320.00      0.06      0.24      0.00      1.00
          CV |    320.00      0.05      0.22      0.00      1.00
      Joint1 |    320.00      0.02      0.15      0.00      1.00
        snap |    320.00      0.32      0.47      0.00      1.00
index_no~35d |    320.00      0.07      0.25      0.00      1.36
index_no~0_5 |    320.00      0.27      0.53      0.00      3.00
index_no~1_2 |    320.00      1.08      1.04      0.00      5.00
index_no~3_4 |    320.00      1.76      1.21      0.00      6.38
index_no~l_5 |    320.00      0.98      0.97      0.00      7.03
 index_n_w_5 |    320.00      0.69      0.61      0.00      3.26
   index_w_5 |    320.00      0.57      0.50      0.00      2.68
  index_w_5b |    320.00      0.53      0.50      0.00      2.56
index_~FOE_5 |    320.00      0.19      0.35      0.00      1.93
index_~SOE_5 |    320.00      0.49      0.47      0.00      2.27
index_n_w_n~ |    320.00      0.20      0.35      0.00      1.93
index_n_~m_5 |    320.00      0.14      0.31      0.00      1.73
i~pranatio~5 |    320.00      0.08      0.20      0.00      1.05
i~bnationa~5 |    320.00      0.27      0.31      0.00      2.13
----------------------------------------------------------------

.         
.         * For export
.         lab var Joint1 "Concurrent Elections"

.         lab var elsys1 "Majoritarian"

.         lab var elsys2 "Proportional"

.         lab var elsys3 "Mixed"

.         
.         
. ****************
. *** Table A1 *** 
. ****************
.         
.         sutex2 Turnout Year Majority Closeness elsys1 elsys2 elsys3 CV Joint1 snap index_nofel_0_35d index_nofel_0_5 index_nofe
> l_1_2 index_nofel_3_4 index_nofel_5 index_n_w_5 index_w_5 index_w_5b   index_n_w_FOE_5  /// 
>         index_n_w_SOE_5 index_n_w_national_5 index_n_w_referendum_5     index_n_w_supranational_5 index_n_w_subnational_5  if R
> ankleg !=.& Closeness!=., varlab tabular minmax saving(A_Table_1.tex) replace digits(2)  
Warning: if 'TABULAR' option is on, 'TABLABel' and 'CAPTION' have no effects.

file A_Table_1.tex saved

.  
.                 
. 
. 
end of do-file

. do "C:\Users\fkostelk\Dropbox\Replication_EF\Code\1_6.do" 

. *********************************************************************************
. *                                                                               *
. *                                               Election Frequency                                                      *
. *                                                                               *
. *                                         SOE Analysis                                  *
. *                                                                               *
. *********************************************************************************
.  
. 
. global beg_path `"C:\Users\fkostelk\Dropbox\Replication_EF\"'  // 

. 
. cd `"${beg_path}Data\Analysis 1\"'
C:\Users\fkostelk\Dropbox\Replication_EF\Data\Analysis 1

. use electionsdata_3.dta, clear

. 
. *** Checking and rescaling coverage
. fre Coverage_pop 

Coverage_pop -- Population coverage in %
---------------------------------------------------------------
                  |      Freq.    Percent      Valid       Cum.
------------------+--------------------------------------------
Valid   .15       |          1       0.08       0.08       0.08
        .17       |          1       0.08       0.08       0.16
        .26415    |          1       0.08       0.08       0.24
        .30494628 |          1       0.08       0.08       0.32
        .30866899 |          1       0.08       0.08       0.41
        .31       |          1       0.08       0.08       0.49
        .31502807 |          1       0.08       0.08       0.57
        .32086257 |          1       0.08       0.08       0.65
        .3283352  |          1       0.08       0.08       0.73
        .32973118 |          1       0.08       0.08       0.81
        .32993521 |          1       0.08       0.08       0.89
        .33       |          1       0.08       0.08       0.97
        .33133716 |          1       0.08       0.08       1.06
        .33180444 |          1       0.08       0.08       1.14
        .33382037 |          1       0.08       0.08       1.22
        .3385385  |          1       0.08       0.08       1.30
        .33902558 |          1       0.08       0.08       1.38
        .38154172 |          1       0.08       0.08       1.46
        .39666246 |          1       0.08       0.08       1.54
        .44       |          1       0.08       0.08       1.62
        :         |          :          :          :          :
        80.2      |          1       0.08       0.08      45.05
        82.2      |          1       0.08       0.08      45.13
        83.869253 |          1       0.08       0.08      45.21
        83.9      |          1       0.08       0.08      45.29
        85.4      |          1       0.08       0.08      45.37
        86.1      |          1       0.08       0.08      45.45
        86.3      |          1       0.08       0.08      45.54
        86.7      |          1       0.08       0.08      45.62
        88.1      |          1       0.08       0.08      45.70
        89.2      |          1       0.08       0.08      45.78
        89.4      |          1       0.08       0.08      45.86
        89.8      |          1       0.08       0.08      45.94
        90.4      |          1       0.08       0.08      46.02
        91.5      |          1       0.08       0.08      46.10
        92.1      |          1       0.08       0.08      46.19
        93.8      |          6       0.48       0.49      46.67
        94.4      |          1       0.08       0.08      46.75
        98.3      |          1       0.08       0.08      46.83
        99        |          2       0.16       0.16      47.00
        100       |        653      52.75      53.00     100.00
        Total     |       1232      99.52     100.00           
Missing .         |          6       0.48                      
Total             |       1238     100.00                      
---------------------------------------------------------------

. list Country Type Year Coverage_pop Coverage_dis if Coverage_pop ==. 

      +---------------------------------------------------+
      |  Country        Type   Year   Covera~p   Covera~s |
      |---------------------------------------------------|
 535. |  Iceland   Municipal   1990          .          . |
 536. |  Iceland   Municipal   1990          .          . |
 769. | Portugal    Regional   2012          .          . |
 772. | Portugal    Regional   2015          .          . |
 774. | Portugal    Regional   2016          .          . |
      |---------------------------------------------------|
 777. | Portugal    Regional   2019          .          . |
      +---------------------------------------------------+

. replace Coverage_pop = Coverage_pop / 100 if Country < 21 // To get shares of the population 
(815 real changes made)

. 
. 
. *\ National Elections (1st post-war & democratic) \*
. 
. ***** Ranked elecetions
. * creating groups
. sort Country Type date

. 
. * creating dummy for election types 
. gen filter_el = 1

. replace filter_el = 0 if Nondem == 1
(50 real changes made)

. replace filter_el = 0 if Country == 5 & Year == 1964 & Type == 2 // 1964 election in Greece, not included in our study
(1 real change made)

. egen Group_leg = group(Type) if Type==2&filter_el==1&date>-5202&Round==1&Coverage_pop>0.5
(917 missing values generated)

. egen Group_ref = group(Type) if Type==4&filter_el==1&date>-5202&Round==1&Coverage_pop>0.5
(1,106 missing values generated)

. egen Group_supra = group(Type) if Type==5&filter_el==1&date>-5202&Round==1&Coverage_pop>0.5
(1,144 missing values generated)

. egen Group_region = group(Type) if Type==6&filter_el==1&date>-5202&Round==1&Coverage_pop>0.5
(1,194 missing values generated)

. egen Group_munic = group(Type) if Type==8&filter_el==1&date>-5202&Round==1&Coverage_pop>0.5
(1,012 missing values generated)

. 
. **** Transforming stata dates to make them all positive 
. 
. *To avoid problems with negative dates (before 1960), we will add a constant equal to the minimal date in the dataset
. gen posit_date = date 
(1 missing value generated)

. su date 

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
        date |      1,237    11813.61    7575.569      -8583      21877

. replace posit_date = date+abs(r(min)) // all dates are positive
(1,237 real changes made)

. 
. *** Generating variables with election numbers, election dates, and distance to the given election for each election type *** 
.  
. *Legislative election numbers 
. sort Country Group_leg date              

. quietly by Country Group_leg :  gen Rank_leg = cond(_N==1,0,_n) if Group_leg == 1

. sum Rank_leg // max == 28 (Denmark)

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
    Rank_leg |        321     9.17134    6.189602          1         28

. 
. *Variables with legislative election dates 
. sort Country posit_date                  

. forvalues i=1(1)28  { 
  2. by Country : generate Date_leg`i' = posit_date if `i' == Rank_leg
  3. bysort Country (Date_leg`i') : gen Date_leg_`i' = Date_leg`i'[1]
  4. drop Date_leg`i'
  5. }
(1,216 missing values generated)
(1,216 missing values generated)
(1,216 missing values generated)
(1,216 missing values generated)
(1,216 missing values generated)
(1,216 missing values generated)
(1,216 missing values generated)
(1,217 missing values generated)
(46 missing values generated)
(1,221 missing values generated)
(204 missing values generated)
(1,225 missing values generated)
(374 missing values generated)
(1,226 missing values generated)
(417 missing values generated)
(1,226 missing values generated)
(417 missing values generated)
(1,227 missing values generated)
(454 missing values generated)
(1,227 missing values generated)
(454 missing values generated)
(1,227 missing values generated)
(454 missing values generated)
(1,228 missing values generated)
(536 missing values generated)
(1,229 missing values generated)
(600 missing values generated)
(1,229 missing values generated)
(600 missing values generated)
(1,230 missing values generated)
(654 missing values generated)
(1,231 missing values generated)
(697 missing values generated)
(1,234 missing values generated)
(980 missing values generated)
(1,234 missing values generated)
(980 missing values generated)
(1,236 missing values generated)
(1,097 missing values generated)
(1,236 missing values generated)
(1,097 missing values generated)
(1,237 missing values generated)
(1,166 missing values generated)
(1,237 missing values generated)
(1,166 missing values generated)
(1,237 missing values generated)
(1,166 missing values generated)
(1,237 missing values generated)
(1,166 missing values generated)

. 
. * Time to legislative election
. forvalues i=1(1)28  { 
  2. generate Timeto_leg_`i' = Date_leg_`i' - posit_date if posit_date < Date_leg_`i'
  3. }
(1,147 missing values generated)
(1,091 missing values generated)
(1,021 missing values generated)
(943 missing values generated)
(856 missing values generated)
(772 missing values generated)
(675 missing values generated)
(628 missing values generated)
(712 missing values generated)
(811 missing values generated)
(808 missing values generated)
(770 missing values generated)
(765 missing values generated)
(734 missing values generated)
(693 missing values generated)
(735 missing values generated)
(761 missing values generated)
(733 missing values generated)
(752 missing values generated)
(761 missing values generated)
(1,023 missing values generated)
(1,011 missing values generated)
(1,115 missing values generated)
(1,112 missing values generated)
(1,177 missing values generated)
(1,174 missing values generated)
(1,171 missing values generated)
(1,167 missing values generated)

. 
. 
. *Referendum numbers 
. sort Country Group_ref posit_date                

. quietly by Country Group_ref:  gen Rank_ref = cond(_N==1,0,_n) if Group_ref == 1

. sum Rank_ref //   max == 23

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
    Rank_ref |        132    6.045455    5.297073          0         23

. 
. *Variables with referendum dates 
. sort Country posit_date                  

. forvalues i=1(1)23 { 
  2. by Country : generate Date_ref`i' = posit_date if `i' == Rank_ref
  3. bysort Country (Date_ref`i') : gen Date_ref_`i' = Date_ref`i'[1]
  4. drop Date_ref`i'
  5. }
(1,219 missing values generated)
(154 missing values generated)
(1,219 missing values generated)
(154 missing values generated)
(1,223 missing values generated)
(354 missing values generated)
(1,224 missing values generated)
(423 missing values generated)
(1,228 missing values generated)
(662 missing values generated)
(1,230 missing values generated)
(741 missing values generated)
(1,232 missing values generated)
(823 missing values generated)
(1,234 missing values generated)
(895 missing values generated)
(1,234 missing values generated)
(895 missing values generated)
(1,234 missing values generated)
(895 missing values generated)
(1,234 missing values generated)
(895 missing values generated)
(1,234 missing values generated)
(895 missing values generated)
(1,235 missing values generated)
(1,042 missing values generated)
(1,235 missing values generated)
(1,042 missing values generated)
(1,236 missing values generated)
(1,114 missing values generated)
(1,236 missing values generated)
(1,114 missing values generated)
(1,236 missing values generated)
(1,114 missing values generated)
(1,237 missing values generated)
(1,168 missing values generated)
(1,237 missing values generated)
(1,168 missing values generated)
(1,237 missing values generated)
(1,168 missing values generated)
(1,237 missing values generated)
(1,168 missing values generated)
(1,237 missing values generated)
(1,168 missing values generated)
(1,237 missing values generated)
(1,168 missing values generated)

. 
. * Time to referendums
. forvalues i=1(1)23 { 
  2. generate Timeto_ref_`i' = Date_ref_`i' - posit_date if posit_date < Date_ref_`i'
  3. }
(963 missing values generated)
(833 missing values generated)
(882 missing values generated)
(823 missing values generated)
(962 missing values generated)
(993 missing values generated)
(1,034 missing values generated)
(1,078 missing values generated)
(1,033 missing values generated)
(1,014 missing values generated)
(995 missing values generated)
(975 missing values generated)
(1,086 missing values generated)
(1,079 missing values generated)
(1,142 missing values generated)
(1,139 missing values generated)
(1,133 missing values generated)
(1,180 missing values generated)
(1,177 missing values generated)
(1,176 missing values generated)
(1,175 missing values generated)
(1,173 missing values generated)
(1,171 missing values generated)

. 
. 
. *Supranational election numbers 
. sort Country Group_supra posit_date              

. quietly by Country Group_supra:  gen Rank_supra = cond(_N==1,0,_n) if Group_supra == 1

. sum Rank_supra // max == 9 

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
  Rank_supra |         94    3.319149    2.048932          0          9

. 
. * Variables with supranational election dates
. sort Country posit_date                  

. forvalues i=1(1)9 { 
  2. by Country : generate Date_supra`i' = posit_date if `i' == Rank_supra
  3. bysort Country (Date_supra`i') : gen Date_supra_`i' = Date_supra`i'[1]
  4. drop Date_supra`i'
  5. }
(1,219 missing values generated)
(158 missing values generated)
(1,219 missing values generated)
(158 missing values generated)
(1,221 missing values generated)
(269 missing values generated)
(1,223 missing values generated)
(337 missing values generated)
(1,230 missing values generated)
(636 missing values generated)
(1,231 missing values generated)
(702 missing values generated)
(1,234 missing values generated)
(890 missing values generated)
(1,236 missing values generated)
(1,016 missing values generated)
(1,236 missing values generated)
(1,016 missing values generated)

. 
. * Time to supranational elections 
. forvalues i=1(1)9 { 
  2. generate Timeto_supra_`i' = Date_supra_`i' - posit_date if posit_date < Date_supra_`i'
  3. }
(740 missing values generated)
(626 missing values generated)
(586 missing values generated)
(538 missing values generated)
(776 missing values generated)
(795 missing values generated)
(933 missing values generated)
(1,033 missing values generated)
(1,018 missing values generated)

. 
. 
. // Regional election numbers
. sort Country Group_region posit_date             

. quietly by Country Group_region:  gen Rank_region = cond(_N==1,0,_n) if Group_region == 1

. sum Rank_region // max == 19 

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
 Rank_region |         44    5.909091    5.246563          0         19

. 
. * Variables with regional elections dates 
. sort Country posit_date                  

. forvalues i=1(1)19 { 
  2. by Country : generate Date_region`i' = posit_date if `i' == Rank_region
  3. bysort Country (Date_region`i') : gen Date_region_`i' = Date_region`i'[1]
  4. drop Date_region`i'
  5. }
(1,232 missing values generated)
(778 missing values generated)
(1,232 missing values generated)
(778 missing values generated)
(1,232 missing values generated)
(778 missing values generated)
(1,232 missing values generated)
(778 missing values generated)
(1,233 missing values generated)
(842 missing values generated)
(1,237 missing values generated)
(1,163 missing values generated)
(1,237 missing values generated)
(1,163 missing values generated)
(1,237 missing values generated)
(1,163 missing values generated)
(1,237 missing values generated)
(1,163 missing values generated)
(1,237 missing values generated)
(1,163 missing values generated)
(1,237 missing values generated)
(1,163 missing values generated)
(1,237 missing values generated)
(1,163 missing values generated)
(1,237 missing values generated)
(1,163 missing values generated)
(1,237 missing values generated)
(1,163 missing values generated)
(1,237 missing values generated)
(1,163 missing values generated)
(1,237 missing values generated)
(1,163 missing values generated)
(1,237 missing values generated)
(1,163 missing values generated)
(1,237 missing values generated)
(1,163 missing values generated)
(1,237 missing values generated)
(1,163 missing values generated)

. 
. * Time to regional elections
. forvalues i=1(1)19 { 
  2. generate Timeto_region_`i' = Date_region_`i' - posit_date if posit_date < Date_region_`i'
  3. }
(1,042 missing values generated)
(992 missing values generated)
(958 missing values generated)
(925 missing values generated)
(945 missing values generated)
(1,219 missing values generated)
(1,216 missing values generated)
(1,212 missing values generated)
(1,209 missing values generated)
(1,205 missing values generated)
(1,199 missing values generated)
(1,195 missing values generated)
(1,191 missing values generated)
(1,188 missing values generated)
(1,183 missing values generated)
(1,178 missing values generated)
(1,173 missing values generated)
(1,169 missing values generated)
(1,165 missing values generated)

. 
. 
. // Municipal election numbers
. sort Country Group_munic posit_date              

. quietly by Country Group_munic:  gen Rank_munic = cond(_N==1,0,_n) if Group_munic == 1

. su Rank_munic // max == 20 

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
  Rank_munic |        226    7.216814    5.048378          1         20

. fre Rank_munic

Rank_munic
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   1     |         21       1.70       9.29       9.29
        2     |         21       1.70       9.29      18.58
        3     |         21       1.70       9.29      27.88
        4     |         20       1.62       8.85      36.73
        5     |         20       1.62       8.85      45.58
        6     |         19       1.53       8.41      53.98
        7     |         17       1.37       7.52      61.50
        8     |         14       1.13       6.19      67.70
        9     |          9       0.73       3.98      71.68
        10    |          9       0.73       3.98      75.66
        11    |          9       0.73       3.98      79.65
        12    |          8       0.65       3.54      83.19
        13    |          6       0.48       2.65      85.84
        14    |          5       0.40       2.21      88.05
        15    |          5       0.40       2.21      90.27
        16    |          5       0.40       2.21      92.48
        17    |          5       0.40       2.21      94.69
        18    |          5       0.40       2.21      96.90
        19    |          4       0.32       1.77      98.67
        20    |          3       0.24       1.33     100.00
        Total |        226      18.26     100.00           
Missing .     |       1012      81.74                      
Total         |       1238     100.00                      
-----------------------------------------------------------

. replace Rank_munic =  1 if Rank_munic==0
(0 real changes made)

. 
. * Variables with municipal election dates 
. sort Country posit_date                  

. forvalues i=1(1)20 { 
  2. by Country : generate Date_munic`i' = posit_date if `i' == Rank_munic
  3. bysort Country (Date_munic`i') : gen Date_munic_`i' = Date_munic`i'[1]
  4. drop Date_munic`i'
  5. }
(1,217 missing values generated)
(70 missing values generated)
(1,217 missing values generated)
(70 missing values generated)
(1,217 missing values generated)
(70 missing values generated)
(1,218 missing values generated)
(107 missing values generated)
(1,218 missing values generated)
(107 missing values generated)
(1,219 missing values generated)
(149 missing values generated)
(1,221 missing values generated)
(246 missing values generated)
(1,224 missing values generated)
(364 missing values generated)
(1,229 missing values generated)
(566 missing values generated)
(1,229 missing values generated)
(566 missing values generated)
(1,229 missing values generated)
(566 missing values generated)
(1,230 missing values generated)
(648 missing values generated)
(1,232 missing values generated)
(859 missing values generated)
(1,233 missing values generated)
(913 missing values generated)
(1,233 missing values generated)
(913 missing values generated)
(1,233 missing values generated)
(913 missing values generated)
(1,233 missing values generated)
(913 missing values generated)
(1,233 missing values generated)
(913 missing values generated)
(1,234 missing values generated)
(985 missing values generated)
(1,235 missing values generated)
(1,060 missing values generated)

. 
. * Time to municipal elections 
. forvalues i=1(1)20 { 
  2. generate Timeto_munic_`i' = Date_munic_`i' - posit_date if posit_date < Date_munic_`i'
  3. }
(1,117 missing values generated)
(1,034 missing values generated)
(935 missing values generated)
(872 missing values generated)
(755 missing values generated)
(672 missing values generated)
(682 missing values generated)
(712 missing values generated)
(860 missing values generated)
(818 missing values generated)
(771 missing values generated)
(810 missing values generated)
(988 missing values generated)
(1,025 missing values generated)
(1,003 missing values generated)
(985 missing values generated)
(970 missing values generated)
(952 missing values generated)
(1,003 missing values generated)
(1,066 missing values generated)

. 
. 
. ********* Index of Election Frequency: FOE ************ 
.  
. foreach lname in  ref supra region local munic {
  2. forvalues i = 1/28 {
  3. cap gen no_weight_5_cont_`lname'_`i' = .
  4. cap replace no_weight_5_cont_`lname'_`i' = Coverage_pop/exp(Timeto_`lname'_`i'/365.25) if Timeto_`lname'_`i'< 1826.25 & Time
> to_`lname'_`i' > 0  &  inlist(Type, 1, 2)  
  5. }
  6. }

. 
. 
. *Aggregating Contributions
. 
. foreach lname in ref supra region munic {
  2. forvalues i = 1/28 {
  3. egen `lname'_`i' = sum(no_weight_5_cont_`lname'_`i'), by(Country)
  4. }
  5. }

. 
. *Generating Indexes
. 
. foreach lname in ref supra region munic {
  2. gen index_n_w_`lname' = .
  3. la var index_n_w_`lname'  "IEF `lname'"
  4. forvalues i = 1/28 {
  5.         replace index_n_w_`lname' = `lname'_`i' if Rank_`lname' ==`i'
  6.         }
  7.         }
(1,238 missing values generated)
(19 real changes made)
(19 real changes made)
(15 real changes made)
(14 real changes made)
(10 real changes made)
(8 real changes made)
(6 real changes made)
(4 real changes made)
(4 real changes made)
(4 real changes made)
(4 real changes made)
(4 real changes made)
(3 real changes made)
(3 real changes made)
(2 real changes made)
(2 real changes made)
(2 real changes made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(1,238 missing values generated)
(19 real changes made)
(19 real changes made)
(17 real changes made)
(15 real changes made)
(8 real changes made)
(7 real changes made)
(4 real changes made)
(2 real changes made)
(2 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(1,238 missing values generated)
(6 real changes made)
(6 real changes made)
(6 real changes made)
(6 real changes made)
(5 real changes made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(1,238 missing values generated)
(21 real changes made)
(21 real changes made)
(21 real changes made)
(20 real changes made)
(20 real changes made)
(19 real changes made)
(17 real changes made)
(14 real changes made)
(9 real changes made)
(9 real changes made)
(9 real changes made)
(8 real changes made)
(6 real changes made)
(5 real changes made)
(5 real changes made)
(5 real changes made)
(5 real changes made)
(5 real changes made)
(4 real changes made)
(3 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)

. 
.         
. ********* Index of Election Frequency: SOE ************         
.         
. foreach lname in leg {
  2. forvalues i = 1/28 {
  3. cap gen no_weight_5_cont_`lname'_`i' = .
  4. cap replace no_weight_5_cont_`lname'_`i' = Coverage_pop/exp(Timeto_`lname'_`i'/365.25) if Timeto_`lname'_`i'< 1826.25 & Time
> to_`lname'_`i' > 0 & inlist(Type, 3, 4, 5, 6, 7, 8)  
  5. }
  6. }

. 
. 
. *Aggregating Contributions
. 
. foreach lname in leg {
  2. forvalues i = 1/28 {
  3. egen `lname'_`i' = sum(no_weight_5_cont_`lname'_`i'), by(Country)
  4. }
  5. }

. 
. *Generating Indexes
. 
. foreach lname in leg {
  2. gen index_n_w_`lname' = .
  3. la var index_n_w_`lname'  "IEF `lname'"
  4. forvalues i = 1/28 {
  5.         replace index_n_w_`lname' = `lname'_`i' if Rank_`lname' ==`i'
  6.         }
  7.         }       
(1,238 missing values generated)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(22 real changes made)
(21 real changes made)
(17 real changes made)
(13 real changes made)
(12 real changes made)
(12 real changes made)
(11 real changes made)
(11 real changes made)
(11 real changes made)
(10 real changes made)
(9 real changes made)
(9 real changes made)
(8 real changes made)
(7 real changes made)
(4 real changes made)
(4 real changes made)
(2 real changes made)
(2 real changes made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)

.         
.         
. **** Check **** 
. bysort Type: su index_n_w_ref  

---------------------------------------------------------------------------------------------------------------------------------
-> Type = Presidential

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
index_n_w_~f |          0

---------------------------------------------------------------------------------------------------------------------------------
-> Type = Lowerhouse

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
index_n_w_~f |          0

---------------------------------------------------------------------------------------------------------------------------------
-> Type = Upperhouse

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
index_n_w_~f |          0

---------------------------------------------------------------------------------------------------------------------------------
-> Type = Referendum

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
index_n_w_~f |        129    .4541021    .4637412          0   2.448878

---------------------------------------------------------------------------------------------------------------------------------
-> Type = European

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
index_n_w_~f |          0

---------------------------------------------------------------------------------------------------------------------------------
-> Type = Regional

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
index_n_w_~f |          0

---------------------------------------------------------------------------------------------------------------------------------
-> Type = Local

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
index_n_w_~f |          0

---------------------------------------------------------------------------------------------------------------------------------
-> Type = Municipal

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
index_n_w_~f |          0

---------------------------------------------------------------------------------------------------------------------------------
-> Type = Others

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
index_n_w_~f |          0


. 
.  
. ********* Creating one index for all election types ************        
. egen index_n_w = rowmean(index_n_w_leg index_n_w_ref index_n_w_supra index_n_w_region index_n_w_munic) 
(426 missing values generated)

. pwcorr index_n_w  index_n_w_leg index_n_w_ref index_n_w_supra index_n_w_region index_n_w_munic // that looks right 

             | index_~w index_~g index_~f index_~a index_~n index_~c
-------------+------------------------------------------------------
   index_n_w |   1.0000 
index_n_w_~g |   1.0000   1.0000 
index_n_w_~f |   1.0000        .   1.0000 
index_n_w_~a |   1.0000        .        .   1.0000 
index_n_w_~n |   1.0000        .        .        .   1.0000 
index_n_w_~c |   1.0000        .        .        .        .   1.0000 

.  
. ****************
. *** Figure 3 *** 
. ****************
.  
. eststo clear 

. xtset Country Rank_leg

Panel variable: Country (unbalanced)
 Time variable: Rank_leg, 1 to 28
         Delta: 1 unit

. eststo M1: xtpcse Turnout index_n_w c.Year c.Year#i.Country i.Country, corr(ar1) p 

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        321
Time variable:    Rank_leg                      Number of groups  =         22
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          7
Sigma computed by pairwise selection                          avg =  14.590909
                                                              max =         28
Estimated covariances      =       253          R-squared         =     0.8469
Estimated autocorrelations =         1          Wald chi2(34)     =    4666.09
Estimated coefficients     =        45          Prob > chi2       =     0.0000

---------------------------------------------------------------------------------
                |           Panel-corrected
        Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
----------------+----------------------------------------------------------------
      index_n_w |  -3.150652   .7558035    -4.17   0.000       -4.632   -1.669305
           Year |   .0399338   .0204993     1.95   0.051     -.000244    .0801117
                |
 Country#c.Year |
         Spain  |  -.2016643   .0841798    -2.40   0.017    -.3666538   -.0366748
       Finland  |  -.2495736   .0579181    -4.31   0.000    -.3630909   -.1360562
        France  |  -.4499607   .0572179    -7.86   0.000    -.5621057   -.3378158
        Greece  |  -.4913597   .0744118    -6.60   0.000    -.6372042   -.3455153
       Ireland  |  -.1665237   .0392037    -4.25   0.000    -.2433615   -.0896858
       Iceland  |  -.2602899   .1080893    -2.41   0.016    -.4721411   -.0484387
         Malta  |   .0067298   .0485766     0.14   0.890    -.0884785    .1019382
   Netherlands  |  -.2982657   .0542619    -5.50   0.000     -.404617   -.1919144
        Norway  |  -.0786538   .0390725    -2.01   0.044    -.1552345   -.0020731
      Portugal  |   -.806579   .0621599   -12.98   0.000    -.9284101   -.6847479
        Sweden  |  -.0096495   .0407188    -0.24   0.813     -.089457     .070158
      Bulgaria  |   -1.19658   .2432469    -4.92   0.000    -1.673336   -.7198252
Czech Republic  |  -1.195166   .2642329    -4.52   0.000    -1.713053   -.6772795
       Estonia  |  -.1745643    .177425    -0.98   0.325     -.522311    .1731824
       Hungary  |  -.0075853   .2241076    -0.03   0.973    -.4468282    .4316575
        Latvia  |  -1.109934   .2181307    -5.09   0.000    -1.537462   -.6824052
     Lithuania  |  -.9614064   .4424419    -2.17   0.030    -1.828577   -.0942363
        Poland  |   .4478318   .2058716     2.18   0.030     .0443309    .8513327
       Romania  |  -1.868943    .179902   -10.39   0.000    -2.221544   -1.516341
      Slovakia  |  -1.250053    .260065    -4.81   0.000    -1.759771   -.7403348
      Slovenia  |  -.9913674   .2267326    -4.37   0.000    -1.435755   -.5469798
                |
        Country |
         Spain  |   389.5995   168.2355     2.32   0.021     59.86401     719.335
       Finland  |    482.306   114.8352     4.20   0.000     257.2331    707.3789
        France  |   877.5902   113.1051     7.76   0.000     655.9082    1099.272
        Greece  |   969.1201   148.5695     6.52   0.000     677.9292    1260.311
       Ireland  |   315.5618   77.56422     4.07   0.000     163.5387    467.5848
       Iceland  |   515.3777   214.3093     2.40   0.016     95.33916    935.4163
         Malta  |    -6.5173    96.7177    -0.07   0.946    -196.0805    183.0459
   Netherlands  |   590.6864   107.5355     5.49   0.000     379.9207    801.4521
        Norway  |   148.6942   77.34238     1.92   0.055    -2.894109    300.2824
      Portugal  |   1591.678   123.8943    12.85   0.000      1348.85    1834.507
        Sweden  |   17.71098   80.56891     0.22   0.826    -140.2012    175.6231
      Bulgaria  |   2375.238   487.2166     4.88   0.000     1420.311    3330.165
Czech Republic  |   2377.768   529.1237     4.49   0.000     1340.705    3414.832
       Estonia  |   326.6642   355.6605     0.92   0.358    -370.4175    1023.746
       Hungary  |  -6.175823   449.0782    -0.01   0.989    -886.3529    874.0012
        Latvia  |   2205.909   437.3641     5.04   0.000     1348.691    3063.126
     Lithuania  |   1895.654   886.5949     2.14   0.033     157.9596    3633.348
        Poland  |  -934.3061   412.5864    -2.26   0.024    -1742.961   -125.6516
       Romania  |   3717.907   360.1317    10.32   0.000     3012.062    4423.752
      Slovakia  |   2488.407   520.6785     4.78   0.000     1467.896    3508.918
      Slovenia  |   1968.807   454.5709     4.33   0.000     1077.864     2859.75
                |
          _cons |   8.245468   40.49107     0.20   0.839    -71.11557     87.6065
----------------+----------------------------------------------------------------
            rho |   .2008977
---------------------------------------------------------------------------------

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

. estadd local country_year "Yes" , replace 

added macro:
       e(country_year) : "Yes"

. tsset Country Rank_munic

Panel variable: Country (unbalanced)
 Time variable: Rank_munic, 1 to 20
         Delta: 1 unit

. eststo M2: xtpcse Turnout index_n_w  c.Year c.Year#i.Country i.Country , corr(ar1) p  

Number of gaps in sample = 2
note: computations for rho restarted at each gap.
note: at least one disturbance covariance assumed 0, no common time periods
      between panels.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        214
Time variable:    Rank_munic                    Number of groups  =         21
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          3
Sigma computed by pairwise selection                          avg =  10.190476
                                                              max =         20
Estimated covariances      =       231          R-squared         =     0.8689
Estimated autocorrelations =         1          Wald chi2(31)     =    9613.05
Estimated coefficients     =        43          Prob > chi2       =     0.0000

---------------------------------------------------------------------------------
                |           Panel-corrected
        Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
----------------+----------------------------------------------------------------
      index_n_w |  -3.938915   .9761683    -4.04   0.000    -5.852169    -2.02566
           Year |  -.1591305   .0374956    -4.24   0.000    -.2326206   -.0856405
                |
 Country#c.Year |
         Spain  |   .1269404   .0822623     1.54   0.123    -.0342908    .2881716
       Finland  |   .0557304    .097129     0.57   0.566     -.134639    .2460998
        France  |  -.0251859   .0686509    -0.37   0.714    -.1597391    .1093673
        Greece  |  -.5676517   .1264165    -4.49   0.000    -.8154235     -.31988
       Iceland  |   -.060304   .0626874    -0.96   0.336     -.183169    .0625609
         Malta  |  -.0757865   .1434448    -0.53   0.597    -.3569331    .2053601
   Netherlands  |  -.4430016    .062982    -7.03   0.000    -.5664441   -.3195592
        Norway  |   -.026115   .0589233    -0.44   0.658    -.1416026    .0893726
      Portugal  |  -.2360851   .0841227    -2.81   0.005    -.4009625   -.0712077
        Sweden  |   .2580653   .1646012     1.57   0.117    -.0645472    .5806778
      Bulgaria  |   -.255003   .2265679    -1.13   0.260     -.699068    .1890621
Czech Republic  |  -.5512149   .2713306    -2.03   0.042    -1.083013   -.0194167
       Estonia  |  -.4117101   .4164816    -0.99   0.323    -1.227999    .4045789
       Hungary  |   .2229372   .1548801     1.44   0.150    -.0806222    .5264966
        Latvia  |  -.1157656   .2371337    -0.49   0.625    -.5805391    .3490078
     Lithuania  |   .2464659   .2215257     1.11   0.266    -.1877165    .6806483
        Poland  |    .669864   .1816592     3.69   0.000     .3138184    1.025909
       Romania  |  -.2756315   .1952007    -1.41   0.158    -.6582178    .1069548
      Slovakia  |  -.3067665   .1232279    -2.49   0.013    -.5482887   -.0652443
      Slovenia  |  -.2223355   .1698158    -1.31   0.190    -.5551683    .1104972
                |
        Country |
         Spain  |  -257.2187   164.1635    -1.57   0.117    -578.9733    64.53585
       Finland  |  -114.9035   192.2851    -0.60   0.550    -491.7753    261.9683
        France  |   52.81486   135.7859     0.39   0.697    -213.3206    318.9504
        Greece  |   1137.737   253.7036     4.48   0.000     640.4868    1634.987
       Iceland  |   130.0792   124.2558     1.05   0.295    -113.4577    373.6162
         Malta  |   146.5814    287.892     0.51   0.611    -417.6765    710.8393
   Netherlands  |   877.2331   124.7999     7.03   0.000     632.6297    1121.836
        Norway  |   47.41585   116.7535     0.41   0.685    -181.4167    276.2484
      Portugal  |   464.0353   167.6684     2.77   0.006     135.4113    792.6593
        Sweden  |  -500.2069   323.1309    -1.55   0.122    -1133.532     133.118
      Bulgaria  |   494.1541   454.4803     1.09   0.277     -396.611    1384.919
Czech Republic  |   1089.858   543.6569     2.00   0.045     24.31007    2155.406
       Estonia  |   805.9449   834.7164     0.97   0.334    -830.0691    2441.959
       Hungary  |  -466.4181    310.247    -1.50   0.133    -1074.491    141.6548
        Latvia  |   218.8797   475.3455     0.46   0.645    -712.7804     1150.54
     Lithuania  |  -516.4421   444.2597    -1.16   0.245    -1387.175    354.2909
        Poland  |  -1364.053   363.8642    -3.75   0.000    -2077.214   -650.8926
       Romania  |   537.8734   391.0258     1.38   0.169     -228.523     1304.27
      Slovakia  |   599.9657    246.799     2.43   0.015     116.2486    1083.683
      Slovenia  |    433.538   340.3486     1.27   0.203     -233.533    1100.609
                |
          _cons |   388.6538   74.32606     5.23   0.000     242.9774    534.3302
----------------+----------------------------------------------------------------
            rho |   .1196961
---------------------------------------------------------------------------------

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

. estadd local country_year "Yes" , replace 

added macro:
       e(country_year) : "Yes"

. tsset Country Rank_supra

Panel variable: Country (unbalanced)
 Time variable: Rank_supra, 0 to 9
         Delta: 1 unit

. eststo M3: xtpcse Turnout index_n_w  c.Year c.Year#i.Country i.Country , corr(ar1) p  

Number of gaps in sample = 1
note: computations for rho restarted at each gap.

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =         92
Time variable:    Rank_supra                    Number of groups  =         19
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          2
Sigma computed by pairwise selection                          avg =  4.8421053
                                                              max =          9
Estimated covariances      =       190          R-squared         =     0.9654
Estimated autocorrelations =         1          Wald chi2(19)     = 3273173.74
Estimated coefficients     =        39          Prob > chi2       =     0.0000

---------------------------------------------------------------------------------
                |           Panel-corrected
        Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
----------------+----------------------------------------------------------------
      index_n_w |  -6.405274   2.022204    -3.17   0.002    -10.36872   -2.441827
           Year |   .2131406   .1138835     1.87   0.061     -.010067    .4363481
                |
 Country#c.Year |
         Spain  |  -.9765871   .1859561    -5.25   0.000    -1.341054   -.6121199
       Finland  |   .2355512   .1570796     1.50   0.134    -.0723192    .5434216
        France  |  -.6230614   .1441049    -4.32   0.000    -.9055018   -.3406209
        Greece  |  -1.034675   .1076498    -9.61   0.000    -1.245664   -.8236848
       Ireland  |  -.6391346   .1107748    -5.77   0.000    -.8562492   -.4220201
         Malta  |  -.9796233    .112959    -8.67   0.000    -1.201019   -.7582278
   Netherlands  |  -.6388271   .1612655    -3.96   0.000    -.9549016   -.3227526
      Portugal  |  -.6804832   .1916532    -3.55   0.000    -1.056117   -.3048499
        Sweden  |     .43132   .2081284     2.07   0.038     .0233958    .8392441
      Bulgaria  |  -.3892873   .1796655    -2.17   0.030    -.7414252   -.0371494
Czech Republic  |  -.0748978   .2629611    -0.28   0.776    -.5902921    .4404964
       Estonia  |   .4055373   .3131996     1.29   0.195    -.2083227    1.019397
       Hungary  |    .043389   .3048275     0.14   0.887    -.5540619    .6408399
        Latvia  |  -.6455445   .3140278    -2.06   0.040    -1.261028   -.0300613
        Poland  |   1.129022   .3925198     2.88   0.004     .3596976    1.898347
       Romania  |   .4464087   .1288067     3.47   0.001     .1939521    .6988653
      Slovakia  |  -.6548253   .1359437    -4.82   0.000      -.92127   -.3883805
      Slovenia  |  -.2747348   .1869934    -1.47   0.142    -.6412351    .0917654
                |
        Country |
         Spain  |   1952.947    371.488     5.26   0.000     1224.844     2681.05
       Finland  |  -488.4538   314.2015    -1.55   0.120    -1104.277    127.3699
        France  |   1243.614   287.6237     4.32   0.000     679.8818    1807.346
        Greece  |   2083.759   214.9195     9.70   0.000     1662.525    2504.993
       Ireland  |   1266.967   221.0173     5.73   0.000     833.7814    1700.153
         Malta  |   1992.401   225.3326     8.84   0.000     1550.757    2434.045
   Netherlands  |   1266.133   322.2691     3.93   0.000     634.4969    1897.768
      Portugal  |   1346.919   383.2369     3.51   0.000     595.7882    2098.049
        Sweden  |  -874.8636   416.8948    -2.10   0.036    -1691.962   -57.76475
      Bulgaria  |   763.8474   360.6742     2.12   0.034     56.93892    1470.756
Czech Republic  |   122.6615   527.6844     0.23   0.816     -911.581    1156.904
       Estonia  |  -834.4631   629.2038    -1.33   0.185     -2067.68    398.7536
       Hungary  |  -105.3397    612.394    -0.17   0.863     -1305.61     1094.93
        Latvia  |   1278.391   631.1725     2.03   0.043     41.31566    2515.466
        Poland  |  -2298.809   789.0742    -2.91   0.004    -3845.366   -752.2523
       Romania  |  -922.2998   257.9073    -3.58   0.000    -1427.789   -416.8108
      Slovakia  |   1287.466   270.8257     4.75   0.000     756.6577    1818.275
      Slovenia  |    527.448    374.688     1.41   0.159     -206.927    1261.823
                |
          _cons |  -371.9552   227.3361    -1.64   0.102    -817.5259    73.61535
----------------+----------------------------------------------------------------
            rho |  -.3332618
---------------------------------------------------------------------------------

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

. estadd local country_year "Yes" , replace 

added macro:
       e(country_year) : "Yes"

. tsset Country Rank_region

Panel variable: Country (unbalanced)
 Time variable: Rank_region, 0 to 19
         Delta: 1 unit

. eststo M4: xtpcse Turnout index_n_w   c.Year c.Year#i.Country i.Country, corr(ar1) p  

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =         43
Time variable:    Rank_region                   Number of groups  =          6
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          4
Sigma computed by pairwise selection                          avg =  7.1666667
                                                              max =         19
Estimated covariances      =        21          R-squared         =     0.9476
Estimated autocorrelations =         1          Wald chi2(11)     =    2058.71
Estimated coefficients     =        13          Prob > chi2       =     0.0000

---------------------------------------------------------------------------------
                |           Panel-corrected
        Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
----------------+----------------------------------------------------------------
      index_n_w |  -8.650396   3.502664    -2.47   0.014    -15.51549     -1.7853
           Year |  -.1819793   .1430734    -1.27   0.203     -.462398    .0984394
                |
 Country#c.Year |
        France  |    -.79821   .2844579    -2.81   0.005    -1.355737   -.2406828
   Netherlands  |  -.5350459   .1601598    -3.34   0.001    -.8489534   -.2211385
      Portugal  |   .5884161   .5051161     1.16   0.244    -.4015932    1.578425
Czech Republic  |   .4446343   .3545847     1.25   0.210     -.250339    1.139608
      Slovakia  |   .3982881   .3387588     1.18   0.240     -.265667    1.062243
                |
        Country |
        France  |   1589.046    569.548     2.79   0.005      472.752    2705.339
   Netherlands  |   1058.389   319.2122     3.32   0.001      432.745    1684.034
      Portugal  |  -1203.578   1018.408    -1.18   0.237    -3199.621    792.4647
Czech Republic  |  -926.8585   710.7259    -1.30   0.192    -2319.856    466.1386
      Slovakia  |  -842.8381   679.5301    -1.24   0.215    -2174.693    489.0164
                |
          _cons |   435.3375   286.0155     1.52   0.128    -125.2425    995.9175
----------------+----------------------------------------------------------------
            rho |  -.1726387
---------------------------------------------------------------------------------

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

. estadd local country_year "Yes" , replace 

added macro:
       e(country_year) : "Yes"

. tsset Country Rank_ref

Panel variable: Country (unbalanced)
 Time variable: Rank_ref, 0 to 23
         Delta: 1 unit

. eststo M5: xtpcse Turnout index_n_w  c.Year c.Year#i.Country i.Country, corr(ar1) p  
note: estimates of rho outside [-1,1] bounded to be in the range [-1,1].

Prais–Winsten regression, correlated panels corrected standard errors (PCSEs)

Group variable:   Country                       Number of obs     =        129
Time variable:    Rank_ref                      Number of groups  =         19
Panels:           correlated (unbalanced)       Obs per group:
Autocorrelation:  common AR(1)                                min =          2
Sigma computed by pairwise selection                          avg =  6.7894737
                                                              max =         23
Estimated covariances      =       190          R-squared         =     0.7922
Estimated autocorrelations =         1          Wald chi2(22)     =   28521.74
Estimated coefficients     =        39          Prob > chi2       =     0.0000

--------------------------------------------------------------------------------
               |           Panel-corrected
       Turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
---------------+----------------------------------------------------------------
     index_n_w |  -5.238001   2.852129    -1.84   0.066    -10.82807    .3520689
          Year |   .1666417   .1604722     1.04   0.299    -.1478781    .4811614
               |
Country#c.Year |
        Spain  |  -1.238849   .2019571    -6.13   0.000    -1.634677   -.8430199
       France  |  -.7088544   .2137043    -3.32   0.001    -1.127707   -.2900018
       Greece  |  -.5125944   .1611684    -3.18   0.001    -.8284787   -.1967101
      Ireland  |  -.3849575   .2290536    -1.68   0.093    -.8338944    .0639794
      Iceland  |  -6.033588   5.341111    -1.13   0.259    -16.50197    4.434798
        Malta  |  -.0722507   .2263699    -0.32   0.750    -.5159276    .3714262
  Netherlands  |   -3.04086   .1632204   -18.63   0.000    -3.360766   -2.720954
       Norway  |   .3490856    .164402     2.12   0.034     .0268636    .6713076
     Portugal  |  -.3727451   .4732043    -0.79   0.431    -1.300208    .5547183
       Sweden  |   .3594209   .2175885     1.65   0.099    -.0670446    .7858865
      Estonia  |   -.241313   .1853168    -1.30   0.193    -.6045273    .1219013
      Hungary  |   .5183254   .4026618     1.29   0.198    -.2708772    1.307528
       Latvia  |   .5814501   1.519074     0.38   0.702     -2.39588     3.55878
    Lithuania  |   -.526618   .8867488    -0.59   0.553    -2.264614    1.211378
       Poland  |  -1.366321   .6898618    -1.98   0.048    -2.718425   -.0142163
      Romania  |  -1.800433   .4034776    -4.46   0.000    -2.591235   -1.009632
     Slovakia  |   .4259145   .6656536     0.64   0.522    -.8787425    1.730572
     Slovenia  |  -1.084126    .334848    -3.24   0.001    -1.740416   -.4278363
               |
       Country |
        Spain  |   2450.579   401.0761     6.11   0.000     1664.485    3236.674
       France  |   1396.983   423.3355     3.30   0.001      567.261    2226.706
       Greece  |   1022.343   320.2409     3.19   0.001     394.6827    1650.004
      Ireland  |   747.5745   456.1965     1.64   0.101    -146.5543    1641.703
      Iceland  |   12124.71   10741.07     1.13   0.259    -8927.398    33176.82
        Malta  |   148.4523   450.6753     0.33   0.742    -734.8551     1031.76
  Netherlands  |    6085.76    324.164    18.77   0.000      5450.41     6721.11
       Norway  |  -678.6381   326.6014    -2.08   0.038    -1318.765   -38.51104
     Portugal  |   713.2351    947.403     0.75   0.452    -1143.641    2570.111
       Sweden  |  -705.0141   431.8349    -1.63   0.103    -1551.395    141.3669
      Estonia  |   475.6537   368.5044     1.29   0.197    -246.6016    1197.909
      Hungary  |  -1069.954   805.5377    -1.33   0.184    -2648.778    508.8712
       Latvia  |  -1197.919   3047.925    -0.39   0.694    -7171.742    4775.904
    Lithuania  |   1026.407   1773.378     0.58   0.563    -2449.351    4502.165
       Poland  |   2703.178   1380.517     1.96   0.050    -2.585863    5408.942
      Romania  |    3584.79   808.8783     4.43   0.000     1999.417    5170.162
     Slovakia  |  -899.6296   1332.483    -0.68   0.500    -3511.248    1711.989
     Slovenia  |   2135.514   671.4828     3.18   0.001     819.4319    3451.596
               |
         _cons |  -258.9073   318.7152    -0.81   0.417    -883.5776    365.7629
---------------+----------------------------------------------------------------
           rho |  -.2839344
--------------------------------------------------------------------------------

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

. estadd local country_year "Yes" , replace 

added macro:
       e(country_year) : "Yes"

. 
. coefplot (M1 \ M2 \ M3 \ M4 \ M5),  keep(index_n_w) aseq swapnames xlabel(-18(3)18, grid)  xline(0, lpattern(dash)) ///
> ylabel(1 `""IEF: SOEs" "Turnout: Legislative""'  2 `""IEF: FOEs" "Turnout: Municipal""' ///
> 3 `""IEF: FOEs" "Turnout: Supranational""' 4`""IEF: FOEs" "Turnout: Regional""' 5`""IEF: FOEs" "Turnout: Referendums""') /// 
> mlabel format(%9.2g) mlabposition(12) mlabgap(*2) 

. 
. 
. cd `"${beg_path}Results"'
C:\Users\fkostelk\Dropbox\Replication_EF\Results

. graph export "Figure_3.eps", replace  //
file Figure_3.eps saved as EPS format

. 
. 
. ****************
. *** Table A6 *** 
. ****************
. 
. esttab  M1 M2 M3 M4 M5 using A_Table_6.tex, one incelldelimite("\:")  stats(country_year fixed N r2, labels("Country-Specific T
> ime Trend" "Country FE"  "N" "R2") layout("\multicolumn{1}{c}{@}"  "\multicolumn{1}{c}{@}" "\multicolumn{1}{c}{@}" "\multicolum
> n{1}{c}{@}" )  fmt(0 0 0 3)) replace b(2) se(2) wide staraux ///
>                 star(* 0.05 ** 0.01 *** 0.001) eqlabels(none) order(index_n_w) ///
>                 drop(*.Country*  Year ) varlabels(index_n_w "IEF" _cons "Constant",  elist(Year \hline ))   label /// 
>                 nodep  ///  
>                 nolegend note("") alignment(d{10}) /// 
>                 mtitles("\shortstack{\\IEF SOE\\ Turnout: Legislative}" "\shortstack{\\IEF FOE\\Turnout: Municipal}"  "\shortst
> ack{\\IEF FOE\\Turnout: Supranational}" "\shortstack{\\IEF FOE\\Turnout: Regional}" "\shortstack{\\IEF FOE\\Turnout: Referendum
> s}")
(output written to A_Table_6.tex)

. 
end of do-file

. do "C:\Users\fkostelk\Dropbox\Replication_EF\Code\2a_1.do" 

. *********************************************************************************
. *                                                                               *
. *                  Election Frequency - UK Case Study                               *
. *                                                                               *
. *                              Data Preparation                                                                         *
. *                                                                               *
. *********************************************************************************
. 
. global beg_path `"C:\Users\fkostelk\Dropbox\Replication_EF\"'  // F - Home

. 
.  cd `"${beg_path}Data\Analysis 2A"'
C:\Users\fkostelk\Dropbox\Replication_EF\Data\Analysis 2A

. 
. 
. *** Election results 2017
. import excel using UKgeneral2017_2.xlsx, first clear
(11 vars, 650 obs)

. destring Turnout, replace
Turnout: all characters numeric; replaced as double

. save UKgeneral2017_2.dta, replace
file UKgeneral2017_2.dta saved

. 
. *** Election results 2015
. import excel using 2015_results_complete.xlsx, first clear
(22 vars, 650 obs)

. rename Totalnumberofvalidvotescoun Total

. rename C CON

. rename Ind IND

. rename Lab LAB

. rename Speaker SPK

. 
. foreach var of varlist Alliance-UUP {
  2. recode `var' (.=0), gen (`var'_)
  3. drop `var'
  4. } 
(632 differences between Alliance and Alliance_)
(3 differences between CON and CON_)
(634 differences between DUP and DUP_)
(77 differences between Green and Green_)
(518 differences between IND and IND_)
(19 differences between LAB and LAB_)
(19 differences between LD and LD_)
(647 differences between PBP and PBP_)
(610 differences between PC and PC_)
(632 differences between SDLP and SDLP_)
(632 differences between SF and SF_)
(591 differences between SNP and SNP_)
(649 differences between SPK and SPK_)
(643 differences between TUV and TUV_)
(26 differences between UKIP and UKIP_)
(635 differences between UUP and UUP_)

. * parties in both years
. foreach var of varlist Alliance_-UUP_ {
  2. gen `var'15 =  `var'/Total*100
  3. } 

. * Other
. gen Ot = 100-Alliance_15-CON_15-DUP_15-Green_15-IND_15-LAB_15-UUP_15-LD_15-PBP_15-PC_15-SDLP_15-SF_15-SNP_15-SPK_15-TUV_15-UKIP
> _15

. gen Other_15 = round(Ot,0.01)

. drop Ot

. tab Other_15

   Other_15 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        312       48.00       48.00
        .06 |          2        0.31       48.31
         .1 |          1        0.15       48.46
        .12 |          1        0.15       48.62
        .13 |          1        0.15       48.77
        .14 |          2        0.31       49.08
        .15 |          3        0.46       49.54
        .16 |          4        0.62       50.15
        .17 |          3        0.46       50.62
        .19 |          2        0.31       50.92
         .2 |          4        0.62       51.54
        .21 |          4        0.62       52.15
        .22 |          5        0.77       52.92
        .23 |          3        0.46       53.38
        .24 |          2        0.31       53.69
        .25 |          2        0.31       54.00
        .26 |          2        0.31       54.31
        .28 |          4        0.62       54.92
        .29 |          3        0.46       55.38
         .3 |          4        0.62       56.00
        .31 |          5        0.77       56.77
        .32 |          6        0.92       57.69
        .33 |          2        0.31       58.00
        .34 |          1        0.15       58.15
        .35 |          5        0.77       58.92
        .36 |          3        0.46       59.38
        .37 |          4        0.62       60.00
        .38 |          3        0.46       60.46
        .39 |          1        0.15       60.62
         .4 |          3        0.46       61.08
        .42 |          5        0.77       61.85
        .43 |          7        1.08       62.92
        .44 |          3        0.46       63.38
        .45 |          3        0.46       63.85
        .46 |          4        0.62       64.46
        .47 |          2        0.31       64.77
        .48 |          5        0.77       65.54
        .49 |          2        0.31       65.85
         .5 |          3        0.46       66.31
        .51 |          4        0.62       66.92
        .52 |          3        0.46       67.38
        .53 |          4        0.62       68.00
        .54 |          3        0.46       68.46
        .55 |          1        0.15       68.62
        .56 |          2        0.31       68.92
        .57 |          3        0.46       69.38
        .58 |          1        0.15       69.54
        .59 |          3        0.46       70.00
         .6 |          5        0.77       70.77
        .61 |          3        0.46       71.23
        .62 |          2        0.31       71.54
        .63 |          1        0.15       71.69
        .64 |          1        0.15       71.85
        .65 |          5        0.77       72.62
        .66 |          3        0.46       73.08
        .67 |          4        0.62       73.69
        .68 |          2        0.31       74.00
        .69 |          1        0.15       74.15
         .7 |          3        0.46       74.62
        .71 |          2        0.31       74.92
        .72 |          2        0.31       75.23
        .73 |          3        0.46       75.69
        .74 |          2        0.31       76.00
        .75 |          1        0.15       76.15
        .76 |          1        0.15       76.31
        .78 |          2        0.31       76.62
        .79 |          1        0.15       76.77
         .8 |          5        0.77       77.54
        .81 |          1        0.15       77.69
        .82 |          1        0.15       77.85
        .83 |          3        0.46       78.31
        .84 |          1        0.15       78.46
        .85 |          3        0.46       78.92
        .86 |          2        0.31       79.23
        .87 |          1        0.15       79.38
        .88 |          1        0.15       79.54
        .89 |          4        0.62       80.15
         .9 |          2        0.31       80.46
        .91 |          1        0.15       80.62
        .92 |          4        0.62       81.23
        .93 |          3        0.46       81.69
        .94 |          2        0.31       82.00
        .95 |          3        0.46       82.46
        .96 |          2        0.31       82.77
        .97 |          1        0.15       82.92
        .98 |          1        0.15       83.08
        .99 |          2        0.31       83.38
          1 |          1        0.15       83.54
       1.03 |          3        0.46       84.00
       1.04 |          3        0.46       84.46
       1.06 |          3        0.46       84.92
       1.07 |          3        0.46       85.38
        1.1 |          2        0.31       85.69
       1.11 |          1        0.15       85.85
       1.13 |          1        0.15       86.00
       1.14 |          1        0.15       86.15
       1.16 |          1        0.15       86.31
       1.17 |          4        0.62       86.92
        1.2 |          2        0.31       87.23
       1.21 |          2        0.31       87.54
       1.22 |          2        0.31       87.85
       1.24 |          1        0.15       88.00
       1.25 |          1        0.15       88.15
       1.26 |          1        0.15       88.31
       1.28 |          1        0.15       88.46
       1.31 |          1        0.15       88.62
       1.33 |          1        0.15       88.77
       1.34 |          1        0.15       88.92
       1.35 |          1        0.15       89.08
       1.36 |          1        0.15       89.23
       1.37 |          3        0.46       89.69
       1.38 |          2        0.31       90.00
       1.42 |          1        0.15       90.15
       1.43 |          1        0.15       90.31
       1.44 |          1        0.15       90.46
       1.45 |          2        0.31       90.77
       1.46 |          1        0.15       90.92
       1.47 |          1        0.15       91.08
       1.48 |          2        0.31       91.38
       1.52 |          4        0.62       92.00
       1.53 |          1        0.15       92.15
       1.54 |          2        0.31       92.46
        1.6 |          1        0.15       92.62
       1.66 |          1        0.15       92.77
       1.68 |          1        0.15       92.92
       1.69 |          1        0.15       93.08
        1.7 |          1        0.15       93.23
       1.72 |          1        0.15       93.38
       1.74 |          1        0.15       93.54
       1.75 |          1        0.15       93.69
       1.78 |          1        0.15       93.85
       1.79 |          1        0.15       94.00
       1.81 |          1        0.15       94.15
       1.83 |          1        0.15       94.31
       1.95 |          1        0.15       94.46
       1.96 |          1        0.15       94.62
       1.99 |          1        0.15       94.77
       2.01 |          1        0.15       94.92
       2.12 |          2        0.31       95.23
       2.15 |          1        0.15       95.38
       2.18 |          1        0.15       95.54
       2.19 |          1        0.15       95.69
        2.2 |          1        0.15       95.85
       2.22 |          1        0.15       96.00
       2.25 |          1        0.15       96.15
       2.26 |          1        0.15       96.31
        2.4 |          1        0.15       96.46
       2.49 |          1        0.15       96.62
       2.66 |          1        0.15       96.77
       2.76 |          1        0.15       96.92
       2.87 |          1        0.15       97.08
       2.88 |          1        0.15       97.23
       3.24 |          1        0.15       97.38
       3.35 |          1        0.15       97.54
       3.49 |          1        0.15       97.69
       3.59 |          1        0.15       97.85
       3.68 |          1        0.15       98.00
       3.79 |          1        0.15       98.15
       3.83 |          1        0.15       98.31
       3.84 |          1        0.15       98.46
       3.91 |          1        0.15       98.62
       4.03 |          1        0.15       98.77
        4.1 |          1        0.15       98.92
       4.75 |          1        0.15       99.08
       4.99 |          1        0.15       99.23
       5.22 |          1        0.15       99.38
       6.56 |          1        0.15       99.54
       9.05 |          1        0.15       99.69
       9.25 |          1        0.15       99.85
      21.48 |          1        0.15      100.00
------------+-----------------------------------
      Total |        650      100.00

. 
. drop Alliance_ - UUP_

. save results_2015, replace
file results_2015.dta saved

. 
. *** Election results 2017 (combined)
. import excel using 2017_results_complete.xlsx, first clear
(5 vars, 3,304 obs)

. rename ONSCode ConstituencyID

. * total valid votes in each constituency (the dataset does not cover all valid votes -> import from 2017)
. merge m:1 Constituency using UKgeneral2017_2, gen (merge3) keepusing(Voted) 

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             3,304  (merge3==3)
    -----------------------------------------

. drop merge3

. * generate variables for parties
. gen Alliance = 0

. gen CON = 0

. gen DUP = 0

. gen Green = 0

. gen IND = 0

. gen LAB = 0

. gen UUP = 0

. gen LD = 0

. gen PBP = 0

. gen PC = 0

. gen SDLP = 0

. gen SF = 0

. gen SNP = 0

. gen SPK = 0

. gen TUV = 0

. gen UKIP = 0

. 
. replace Alliance = Validvotes if PartyIdentifer == "Alliance"
(18 real changes made)

. replace CON = Validvotes if PartyIdentifer == "Conservative"
(638 real changes made)

. replace DUP = Validvotes if PartyIdentifer == "DUP"
(17 real changes made)

. replace Green = Validvotes if PartyIdentifer == "Green Party"
(467 real changes made)

. replace IND = Validvotes if PartyIdentifer == "Independent"
(187 real changes made)

. replace LAB = Validvotes if PartyIdentifer == "Labour"
(631 real changes made)

. replace LD = Validvotes if PartyIdentifer == "Liberal Democrats"
(629 real changes made)

. replace UUP = Validvotes if PartyIdentifer == "UUP"
(14 real changes made)

. replace PBP = Validvotes if PartyIdentifer == "PBP Alliance"
(2 real changes made)

. replace PC = Validvotes if PartyIdentifer == "Plaid Cymru"
(40 real changes made)

. replace SDLP = Validvotes if PartyIdentifer == "SDLP"
(18 real changes made)

. replace SF = Validvotes if PartyIdentifer == "Sinn Féin"
(18 real changes made)

. replace SNP = Validvotes if PartyIdentifer == "SNP"
(59 real changes made)

. replace TUV = Validvotes if PartyIdentifer == "TUV"
(1 real change made)

. replace UKIP = Validvotes if PartyIdentifer == "UKIP"
(378 real changes made)

. 
. * drop & keeep only first 
. drop PartyIdentifer Validvotes

. 
. * copy values within the group of party 
. foreach var of varlist Alliance-UKIP {
  2. gsort Constituency -`var'
  3. bysort Constituency: gen `var'_ = `var'[1]
  4. } 

. * keep only one observation per Constituency
. bysort ConstituencyID: keep if _n==1 
(2,654 observations deleted)

. 
. * calculation the share
. foreach var of varlist Alliance_-UKIP_ {
  2. gen `var'17 =  `var'/Voted*100
  3. } 

. 
. * Other
. gen Ot = 100-Alliance_17-CON_17-DUP_17-Green_17-IND_17-LAB_17-UUP_17-LD_17-PBP_17-PC_17-SDLP_17-SF_17-SNP_17-SPK_17-TUV_17-UKIP
> _17

. gen Other_17 = round(Ot,0.01)

. drop Ot

. tab Other 

   Other_17 |      Freq.     Percent        Cum.
------------+-----------------------------------
      -2.61 |          1        0.15        0.15
      -1.68 |          1        0.15        0.31
      -1.56 |          1        0.15        0.46
       -.09 |          1        0.15        0.62
          0 |          1        0.15        0.77
        .05 |          2        0.31        1.08
        .06 |          1        0.15        1.23
        .08 |          1        0.15        1.38
         .1 |          1        0.15        1.54
        .16 |          1        0.15        1.69
        .18 |          1        0.15        1.85
        .19 |          1        0.15        2.00
         .2 |          1        0.15        2.15
        .22 |          2        0.31        2.46
        .23 |          1        0.15        2.62
        .24 |          1        0.15        2.77
        .26 |          1        0.15        2.92
        .28 |          1        0.15        3.08
        .29 |          1        0.15        3.23
        .31 |          2        0.31        3.54
        .32 |          3        0.46        4.00
        .33 |          4        0.62        4.62
        .34 |          3        0.46        5.08
        .35 |          3        0.46        5.54
        .36 |          2        0.31        5.85
        .37 |          2        0.31        6.15
        .38 |          6        0.92        7.08
        .39 |          6        0.92        8.00
         .4 |          1        0.15        8.15
        .41 |          7        1.08        9.23
        .42 |          3        0.46        9.69
        .43 |         10        1.54       11.23
        .44 |          4        0.62       11.85
        .45 |          3        0.46       12.31
        .46 |          4        0.62       12.92
        .47 |          8        1.23       14.15
        .48 |          4        0.62       14.77
        .49 |          7        1.08       15.85
         .5 |          8        1.23       17.08
        .51 |          6        0.92       18.00
        .52 |          8        1.23       19.23
        .53 |          5        0.77       20.00
        .54 |          6        0.92       20.92
        .55 |         11        1.69       22.62
        .56 |          6        0.92       23.54
        .57 |          7        1.08       24.62
        .58 |         10        1.54       26.15
        .59 |         11        1.69       27.85
         .6 |         15        2.31       30.15
        .61 |          5        0.77       30.92
        .62 |          6        0.92       31.85
        .63 |          8        1.23       33.08
        .64 |         11        1.69       34.77
        .65 |         12        1.85       36.62
        .66 |         13        2.00       38.62
        .67 |          7        1.08       39.69
        .68 |         11        1.69       41.38
        .69 |          6        0.92       42.31
         .7 |          7        1.08       43.38
        .71 |          6        0.92       44.31
        .72 |          7        1.08       45.38
        .73 |          7        1.08       46.46
        .74 |          7        1.08       47.54
        .75 |          7        1.08       48.62
        .76 |          7        1.08       49.69
        .77 |          8        1.23       50.92
        .78 |          6        0.92       51.85
        .79 |          6        0.92       52.77
         .8 |          5        0.77       53.54
        .81 |          7        1.08       54.62
        .82 |          4        0.62       55.23
        .83 |          8        1.23       56.46
        .84 |          3        0.46       56.92
        .85 |          3        0.46       57.38
        .86 |          9        1.38       58.77
        .87 |         12        1.85       60.62
        .88 |          4        0.62       61.23
        .89 |          6        0.92       62.15
         .9 |          7        1.08       63.23
        .91 |          2        0.31       63.54
        .92 |          2        0.31       63.85
        .93 |          3        0.46       64.31
        .94 |          2        0.31       64.62
        .95 |          5        0.77       65.38
        .96 |          2        0.31       65.69
        .97 |          7        1.08       66.77
        .98 |          4        0.62       67.38
        .99 |          4        0.62       68.00
          1 |          4        0.62       68.62
       1.01 |          3        0.46       69.08
       1.02 |          3        0.46       69.54
       1.03 |          3        0.46       70.00
       1.04 |          8        1.23       71.23
       1.06 |          1        0.15       71.38
       1.07 |          6        0.92       72.31
       1.08 |          4        0.62       72.92
       1.09 |          5        0.77       73.69
        1.1 |          4        0.62       74.31
       1.11 |          2        0.31       74.62
       1.12 |          3        0.46       75.08
       1.13 |          3        0.46       75.54
       1.14 |          3        0.46       76.00
       1.15 |          3        0.46       76.46
       1.16 |          3        0.46       76.92
       1.17 |          3        0.46       77.38
       1.18 |          2        0.31       77.69
       1.19 |          3        0.46       78.15
        1.2 |          1        0.15       78.31
       1.21 |          3        0.46       78.77
       1.22 |          1        0.15       78.92
       1.23 |          5        0.77       79.69
       1.24 |          3        0.46       80.15
       1.25 |          3        0.46       80.62
       1.27 |          3        0.46       81.08
       1.28 |          1        0.15       81.23
       1.29 |          2        0.31       81.54
        1.3 |          1        0.15       81.69
       1.32 |          2        0.31       82.00
       1.33 |          2        0.31       82.31
       1.34 |          1        0.15       82.46
       1.35 |          2        0.31       82.77
       1.36 |          3        0.46       83.23
       1.39 |          1        0.15       83.38
        1.4 |          1        0.15       83.54
       1.41 |          2        0.31       83.85
       1.42 |          2        0.31       84.15
       1.45 |          1        0.15       84.31
       1.47 |          3        0.46       84.77
       1.48 |          1        0.15       84.92
       1.49 |          1        0.15       85.08
        1.5 |          1        0.15       85.23
       1.51 |          1        0.15       85.38
       1.53 |          1        0.15       85.54
       1.55 |          1        0.15       85.69
       1.56 |          1        0.15       85.85
       1.57 |          2        0.31       86.15
       1.58 |          2        0.31       86.46
       1.59 |          1        0.15       86.62
        1.6 |          2        0.31       86.92
       1.61 |          1        0.15       87.08
       1.62 |          1        0.15       87.23
       1.66 |          1        0.15       87.38
       1.67 |          1        0.15       87.54
       1.68 |          1        0.15       87.69
       1.69 |          1        0.15       87.85
       1.72 |          2        0.31       88.15
       1.73 |          2        0.31       88.46
       1.75 |          1        0.15       88.62
       1.78 |          1        0.15       88.77
       1.79 |          3        0.46       89.23
        1.8 |          3        0.46       89.69
       1.81 |          1        0.15       89.85
       1.82 |          1        0.15       90.00
       1.83 |          1        0.15       90.15
       1.85 |          2        0.31       90.46
       1.86 |          2        0.31       90.77
       1.87 |          1        0.15       90.92
       1.92 |          1        0.15       91.08
       1.93 |          1        0.15       91.23
       1.95 |          1        0.15       91.38
       1.97 |          2        0.31       91.69
       1.98 |          1        0.15       91.85
          2 |          1        0.15       92.00
       2.02 |          1        0.15       92.15
       2.04 |          1        0.15       92.31
       2.09 |          2        0.31       92.62
       2.11 |          1        0.15       92.77
       2.15 |          1        0.15       92.92
       2.19 |          1        0.15       93.08
       2.22 |          3        0.46       93.54
       2.25 |          1        0.15       93.69
       2.26 |          1        0.15       93.85
       2.27 |          3        0.46       94.31
       2.31 |          1        0.15       94.46
       2.36 |          1        0.15       94.62
       2.38 |          1        0.15       94.77
       2.39 |          1        0.15       94.92
       2.42 |          1        0.15       95.08
       2.55 |          1        0.15       95.23
       2.62 |          1        0.15       95.38
       2.68 |          1        0.15       95.54
       2.83 |          1        0.15       95.69
       2.93 |          1        0.15       95.85
       3.08 |          1        0.15       96.00
       3.18 |          1        0.15       96.15
       3.23 |          1        0.15       96.31
       3.25 |          1        0.15       96.46
       3.26 |          1        0.15       96.62
       3.47 |          1        0.15       96.77
       3.56 |          1        0.15       96.92
       3.86 |          1        0.15       97.08
       4.07 |          1        0.15       97.23
       4.26 |          1        0.15       97.38
       4.42 |          1        0.15       97.54
        4.5 |          1        0.15       97.69
       4.79 |          1        0.15       97.85
        4.8 |          1        0.15       98.00
       4.95 |          1        0.15       98.15
       5.25 |          1        0.15       98.31
       5.34 |          1        0.15       98.46
       5.59 |          1        0.15       98.62
        7.1 |          1        0.15       98.77
       8.28 |          1        0.15       98.92
       8.83 |          1        0.15       99.08
       9.83 |          1        0.15       99.23
       9.92 |          1        0.15       99.38
      10.01 |          1        0.15       99.54
      11.21 |          1        0.15       99.69
      20.73 |          1        0.15       99.85
      66.49 |          1        0.15      100.00
------------+-----------------------------------
      Total |        650      100.00

. 
. * drop 
. drop Alliance-UKIP_

. 
. save results_2017, replace
file results_2017.dta saved

. 
. *** Brexit vote in NI 
. import excel using Brexit_NI.xlsx, first clear
(5 vars, 18 obs)

. drop ConstituencyID  // not right 

. save Brexit_NI, replace
file Brexit_NI.dta saved

. 
. *** NI Assembly 2017 elections
. import excel using NI_2017.xlsx, first clear
(6 vars, 18 obs)

. save NI_2017, replace
file NI_2017.dta saved

. 
. 
. ***************************************** data completion 
. 
. * data on 2015 general elections
. import excel using UKgeneral2015.xlsx, first clear
(5 vars, 650 obs)

. gen Year = 2015

. gen local_el = 0

. gen coverage = 0

. gen local_authorities_el = 0

. gen coverage_loc_auth = 0

. save UKgeneral2015, replace
file UKgeneral2015.dta saved

. 
. * merge with 2017 to test whether constituencies the same 
. use UKgeneral2017_2.dta

. merge 1:1 Constituency using UKgeneral2015, gen (merge2)
(variable local_el was byte, now float to accommodate using data's values)
(variable coverage was byte, now float to accommodate using data's values)
(variable local_authorities_el was byte, now float to accommodate using data's values)
(variable coverage_loc_auth was byte, now float to accommodate using data's values)

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                               650  (merge2==3)
    -----------------------------------------

. * perfect match
. 
. * append  
. use UKgeneral2017_2.dta, clear

. gen Year = 2017

. sort Constituency

. gen ID = _n

. append using UKgeneral2015
(variable local_el was byte, now float to accommodate using data's values)
(variable coverage was byte, now float to accommodate using data's values)
(variable local_authorities_el was byte, now float to accommodate using data's values)
(variable coverage_loc_auth was byte, now float to accommodate using data's values)

. 
. * label
. label var Turnout "Total Vote Turnout"

. label var Voted "Total Voted"

. 
. * copy variables from different observations (Type, Region, County, ID, Constituency ID)
. sort Constituency Year

. bysort Constituency (Type) : replace Type = Type[2]
(650 real changes made)

. bysort Constituency (Region) : replace Region = Region[2]
(650 real changes made)

. bysort Constituency (County) : replace County = County[2]
(650 real changes made)

. bysort Constituency (ID) : replace ID = ID[1]
(650 real changes made)

. bysort Constituency (ConstituencyID) : replace ConstituencyID = ConstituencyID[2]
(650 real changes made)

. 
. ****
. gen CON = ., a(ConstituencyID)
(1,300 missing values generated)

. gen LAB = ., a(CON)
(1,300 missing values generated)

. gen LD = ., a(LAB)
(1,300 missing values generated)

. gen SNP = ., a(LD)
(1,300 missing values generated)

. gen PC = ., a(SNP)
(1,300 missing values generated)

. gen UKIP = ., a(PC)
(1,300 missing values generated)

. gen Green = ., a(UKIP)
(1,300 missing values generated)

. gen DUP = ., a(Green)
(1,300 missing values generated)

. gen SF = ., a(DUP)
(1,300 missing values generated)

. gen IND = ., a(SF)
(1,300 missing values generated)

. gen PBP = ., a(IND)
(1,300 missing values generated)

. gen Alliance = ., a(PBP)
(1,300 missing values generated)

. gen SDLP = ., a(Alliance)
(1,300 missing values generated)

. gen SPK = ., a(SDLP)
(1,300 missing values generated)

. gen TUV = ., a(SPK)
(1,300 missing values generated)

. gen UUP = ., a(TUV)
(1,300 missing values generated)

. gen Other = ., a(UUP)
(1,300 missing values generated)

. 
. *** merge with 2015 & 2017
. merge m:1 ConstituencyID using results_2015, gen (merge3)

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,300  (merge3==3)
    -----------------------------------------

. foreach var of varlist CON-Other {
  2. replace `var' =  `var'_15 if Year == 2015
  3. } 
(650 real changes made)
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(650 real changes made)

. 
. merge m:1 ConstituencyID using results_2017, gen (merge4)

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,300  (merge4==3)
    -----------------------------------------

. foreach var of varlist CON-Other {
  2. replace `var' =  `var'_17 if Year == 2017
  3. } 
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. drop ConstituencyName - merge4

. 
. ***** first & second score 
. egen first = rowmax(CON-Other)

. gen second = .
(1,300 missing values generated)

. foreach i of num 50/0.01 { 
  2. foreach var of varlist CON-Other {
  3. replace second = `var' if `var'>`i' &`var'!= first & second == .
  4. } 
  5. }
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. 
. * difference betwen 1st and 2nd
. gen difference = first - second

. 
. 
. ************************************
. **** Brexit 
. ************************************
. ******** Pippa Norris data 
. **** merge with PN dataset 
. merge m:1 ConstituencyID using PN_data_2, gen (merge3) keepusing(BREXITLeave result17 Winner17 Winner15)

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             1,300  (merge3==3)
    -----------------------------------------

. drop merge3

. * ordering variables on Brexit (vote for leave), results (respective to both 17 & 15)
. order BREXITLeave, a(Other)

. order result17, a(BREXITLeave)

. merge m:1 Constituency using Brexit_NI, gen (merge5) keepusing (Leave)

    Result                      Number of obs
    -----------------------------------------
    Not matched                         1,264
        from master                     1,264  (merge5==1)
        from using                          0  (merge5==2)

    Matched                                36  (merge5==3)
    -----------------------------------------

. replace BREXITLeave = Leave if BREXITLeave ==.
(36 real changes made)

. 
. * check whether some of the 2017 parties that is not included in 2015 results (DUP, SF, SDLP, UUP, ALLIANCE) did not win 
. tab Winner17

       2017 |
    Winning |
      Party |      Freq.     Percent        Cum.
------------+-----------------------------------
        Con |        634       48.77       48.77
        DUP |         20        1.54       50.31
      Green |          2        0.15       50.46
        Ind |          2        0.15       50.62
         LD |         24        1.85       52.46
        Lab |        524       40.31       92.77
         PC |          8        0.62       93.38
         SF |         14        1.08       94.46
        SNP |         70        5.38       99.85
        Spk |          2        0.15      100.00
------------+-----------------------------------
      Total |      1,300      100.00

. tab Winner15

     2015 Winning party |      Freq.     Percent        Cum.
------------------------+-----------------------------------
           Conservative |        662       52.37       52.37
                  Green |          2        0.16       52.53
                 Labour |        464       36.71       89.24
       Liberal Democrat |         16        1.27       90.51
            Plaid Cymru |          6        0.47       90.98
Scottish National Party |        112        8.86       99.84
                   UKIP |          2        0.16      100.00
------------------------+-----------------------------------
                  Total |      1,264      100.00

. * -> DUP and SF in 2017 won  in 20 and 14 constitutiencies respectively. IND and SPK in 2 each (but do not have a separate cate
> gory)
. 
. **** NI Assembly Elections
. gen loc_el_NI = 0, a(coverage_loc_auth)

. replace loc_el_NI = 1 if Region == "NI"&Year == 2017
(18 real changes made)

. 
. gen coverage_NI  = 0, a(loc_el_NI)

. replace coverage_NI = 100 if Region == "NI"&Year == 2017
(18 real changes made)

. label var BREXITLeave "Pippa Norris data - from Chris Hanrietty"

. 
. *** Preparation
. ******** Chris Hanrietty Data 
. * import excel using Brexit_estimates_Hanretty.xlsx, first clear
. * gen Brexit_Leave_Han = Brexit_Leave_original*100
. * save Brexit_estimates_Hanretty, replace
. 
. * merge
. merge m:1 ConstituencyID using Brexit_estimates_Hanretty, gen (merge6) keepusing(Brexit_Leave_Han)

    Result                      Number of obs
    -----------------------------------------
    Not matched                            36
        from master                        36  (merge6==1)
        from using                          0  (merge6==2)

    Matched                             1,264  (merge6==3)
    -----------------------------------------

. 
. drop merge5 merge6

. save UK_dataset.dta, replace
file UK_dataset.dta saved

. 
. ************************************
. **** Adding 2010 and 2019
. ************************************
. 
. *** 2010 general elections results
. import excel using UKgeneral2010.xlsx, first clear
(5 vars, 650 obs)

. gen Year = 2010

. gen local_el = 0

. gen coverage = 0

. gen local_authorities_el = 0

. gen coverage_loc_auth = 0

. fre Turnout 

Turnout -- Turnout
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   45.60 |          1       0.15       0.15       0.15
        46.41 |          1       0.15       0.15       0.31
        49.83 |          1       0.15       0.15       0.46
        49.97 |          1       0.15       0.15       0.62
        50.35 |          1       0.15       0.15       0.77
        50.54 |          1       0.15       0.15       0.92
        50.92 |          1       0.15       0.15       1.08
        50.92 |          1       0.15       0.15       1.23
        51.53 |          1       0.15       0.15       1.39
        51.74 |          1       0.15       0.15       1.54
        51.90 |          1       0.15       0.15       1.69
        52.11 |          1       0.15       0.15       1.85
        52.40 |          1       0.15       0.15       2.00
        52.45 |          1       0.15       0.15       2.16
        52.88 |          1       0.15       0.15       2.31
        53.80 |          1       0.15       0.15       2.47
        53.95 |          1       0.15       0.15       2.62
        54.01 |          1       0.15       0.15       2.77
        54.16 |          1       0.15       0.15       2.93
        54.18 |          1       0.15       0.15       3.08
        :     |          :          :          :          :
        74.70 |          1       0.15       0.15      97.07
        75.01 |          1       0.15       0.15      97.23
        75.03 |          1       0.15       0.15      97.38
        75.04 |          1       0.15       0.15      97.53
        75.05 |          1       0.15       0.15      97.69
        75.10 |          1       0.15       0.15      97.84
        75.25 |          1       0.15       0.15      98.00
        75.28 |          1       0.15       0.15      98.15
        75.31 |          1       0.15       0.15      98.31
        75.61 |          1       0.15       0.15      98.46
        75.66 |          1       0.15       0.15      98.61
        75.83 |          1       0.15       0.15      98.77
        75.97 |          1       0.15       0.15      98.92
        75.97 |          1       0.15       0.15      99.08
        76.16 |          1       0.15       0.15      99.23
        76.19 |          1       0.15       0.15      99.38
        76.21 |          1       0.15       0.15      99.54
        76.95 |          1       0.15       0.15      99.69
        77.55 |          1       0.15       0.15      99.85
        78.80 |          1       0.15       0.15     100.00
        Total |        649      99.85     100.00           
Missing .     |          1       0.15                      
Total         |        650     100.00                      
-----------------------------------------------------------

. list if Turnout == .

     +-----------------------------------------------------------------------------------------------------------------+
650. |   Constituency |                   Region | Regist~d |  Voted | Turnout | Year | local_el | coverage | loc~s_el |
     | East Yorkshire | Yorkshire and the Humber |   80,105 | 51,565 |       . | 2010 |        0 |        0 |        0 |
     |-----------------------------------------------------------------------------------------------------------------|
     |                                                    covera~h                                                     |
     |                                                           0                                                     |
     +-----------------------------------------------------------------------------------------------------------------+

. replace Turnout = (Voted/Registered)*100 if Turnout == . 
(1 real change made)

. fre Turnout, all 

Turnout -- Turnout
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   45.60 |          1       0.15       0.15       0.15
        46.41 |          1       0.15       0.15       0.31
        49.83 |          1       0.15       0.15       0.46
        49.97 |          1       0.15       0.15       0.62
        50.35 |          1       0.15       0.15       0.77
        50.54 |          1       0.15       0.15       0.92
        50.92 |          1       0.15       0.15       1.08
        50.92 |          1       0.15       0.15       1.23
        51.53 |          1       0.15       0.15       1.38
        51.74 |          1       0.15       0.15       1.54
        51.90 |          1       0.15       0.15       1.69
        52.11 |          1       0.15       0.15       1.85
        52.40 |          1       0.15       0.15       2.00
        52.45 |          1       0.15       0.15       2.15
        52.88 |          1       0.15       0.15       2.31
        53.80 |          1       0.15       0.15       2.46
        53.95 |          1       0.15       0.15       2.62
        54.01 |          1       0.15       0.15       2.77
        54.16 |          1       0.15       0.15       2.92
        54.18 |          1       0.15       0.15       3.08
        54.37 |          1       0.15       0.15       3.23
        54.38 |          1       0.15       0.15       3.38
        54.93 |          1       0.15       0.15       3.54
        54.96 |          1       0.15       0.15       3.69
        55.17 |          1       0.15       0.15       3.85
        55.28 |          1       0.15       0.15       4.00
        55.30 |          1       0.15       0.15       4.15
        55.33 |          1       0.15       0.15       4.31
        55.39 |          1       0.15       0.15       4.46
        55.43 |          1       0.15       0.15       4.62
        55.56 |          1       0.15       0.15       4.77
        55.68 |          1       0.15       0.15       4.92
        55.77 |          1       0.15       0.15       5.08
        55.83 |          1       0.15       0.15       5.23
        55.86 |          1       0.15       0.15       5.38
        55.98 |          1       0.15       0.15       5.54
        56.14 |          1       0.15       0.15       5.69
        56.21 |          1       0.15       0.15       5.85
        56.30 |          1       0.15       0.15       6.00
        56.31 |          1       0.15       0.15       6.15
        56.34 |          1       0.15       0.15       6.31
        56.55 |          1       0.15       0.15       6.46
        56.73 |          1       0.15       0.15       6.62
        56.74 |          1       0.15       0.15       6.77
        56.78 |          1       0.15       0.15       6.92
        56.80 |          1       0.15       0.15       7.08
        56.87 |          1       0.15       0.15       7.23
        56.89 |          1       0.15       0.15       7.38
        57.16 |          1       0.15       0.15       7.54
        57.20 |          1       0.15       0.15       7.69
        57.20 |          1       0.15       0.15       7.85
        57.22 |          1       0.15       0.15       8.00
        57.26 |          1       0.15       0.15       8.15
        57.33 |          1       0.15       0.15       8.31
        57.39 |          1       0.15       0.15       8.46
        57.67 |          1       0.15       0.15       8.62
        57.69 |          1       0.15       0.15       8.77
        57.70 |          1       0.15       0.15       8.92
        57.71 |          1       0.15       0.15       9.08
        57.74 |          1       0.15       0.15       9.23
        57.77 |          1       0.15       0.15       9.38
        57.82 |          1       0.15       0.15       9.54
        57.86 |          1       0.15       0.15       9.69
        57.89 |          1       0.15       0.15       9.85
        57.91 |          1       0.15       0.15      10.00
        58.07 |          1       0.15       0.15      10.15
        58.07 |          1       0.15       0.15      10.31
        58.10 |          1       0.15       0.15      10.46
        58.14 |          1       0.15       0.15      10.62
        58.16 |          1       0.15       0.15      10.77
        58.24 |          1       0.15       0.15      10.92
        58.39 |          1       0.15       0.15      11.08
        58.43 |          1       0.15       0.15      11.23
        58.58 |          1       0.15       0.15      11.38
        58.60 |          1       0.15       0.15      11.54
        58.66 |          1       0.15       0.15      11.69
        58.74 |          1       0.15       0.15      11.85
        58.79 |          1       0.15       0.15      12.00
        58.80 |          1       0.15       0.15      12.15
        58.82 |          1       0.15       0.15      12.31
        58.84 |          1       0.15       0.15      12.46
        58.85 |          1       0.15       0.15      12.62
        58.89 |          1       0.15       0.15      12.77
        58.90 |          1       0.15       0.15      12.92
        58.96 |          1       0.15       0.15      13.08
        58.98 |          1       0.15       0.15      13.23
        59.01 |          1       0.15       0.15      13.38
        59.01 |          1       0.15       0.15      13.54
        59.03 |          1       0.15       0.15      13.69
        59.04 |          1       0.15       0.15      13.85
        59.09 |          1       0.15       0.15      14.00
        59.10 |          1       0.15       0.15      14.15
        59.15 |          1       0.15       0.15      14.31
        59.29 |          1       0.15       0.15      14.46
        59.35 |          1       0.15       0.15      14.62
        59.41 |          1       0.15       0.15      14.77
        59.48 |          1       0.15       0.15      14.92
        59.50 |          1       0.15       0.15      15.08
        59.53 |          1       0.15       0.15      15.23
        59.67 |          1       0.15       0.15      15.38
        59.70 |          1       0.15       0.15      15.54
        59.74 |          1       0.15       0.15      15.69
        59.79 |          1       0.15       0.15      15.85
        59.81 |          1       0.15       0.15      16.00
        59.83 |          1       0.15       0.15      16.15
        59.86 |          1       0.15       0.15      16.31
        59.98 |          1       0.15       0.15      16.46
        59.98 |          1       0.15       0.15      16.62
        60.00 |          1       0.15       0.15      16.77
        60.05 |          1       0.15       0.15      16.92
        60.10 |          1       0.15       0.15      17.08
        60.11 |          1       0.15       0.15      17.23
        60.22 |          1       0.15       0.15      17.38
        60.23 |          1       0.15       0.15      17.54
        60.33 |          1       0.15       0.15      17.69
        60.34 |          1       0.15       0.15      17.85
        60.39 |          1       0.15       0.15      18.00
        60.42 |          1       0.15       0.15      18.15
        60.51 |          1       0.15       0.15      18.31
        60.59 |          1       0.15       0.15      18.46
        60.61 |          1       0.15       0.15      18.62
        60.70 |          1       0.15       0.15      18.77
        60.75 |          1       0.15       0.15      18.92
        60.77 |          1       0.15       0.15      19.08
        60.78 |          1       0.15       0.15      19.23
        60.84 |          1       0.15       0.15      19.38
        60.84 |          1       0.15       0.15      19.54
        60.84 |          1       0.15       0.15      19.69
        60.92 |          1       0.15       0.15      19.85
        60.99 |          1       0.15       0.15      20.00
        61.00 |          1       0.15       0.15      20.15
        61.00 |          1       0.15       0.15      20.31
        61.06 |          1       0.15       0.15      20.46
        61.08 |          1       0.15       0.15      20.62
        61.10 |          1       0.15       0.15      20.77
        61.11 |          1       0.15       0.15      20.92
        61.14 |          1       0.15       0.15      21.08
        61.18 |          1       0.15       0.15      21.23
        61.24 |          1       0.15       0.15      21.38
        61.27 |          1       0.15       0.15      21.54
        61.29 |          1       0.15       0.15      21.69
        61.39 |          1       0.15       0.15      21.85
        61.43 |          1       0.15       0.15      22.00
        61.53 |          1       0.15       0.15      22.15
        61.54 |          1       0.15       0.15      22.31
        61.61 |          1       0.15       0.15      22.46
        61.65 |          1       0.15       0.15      22.62
        61.71 |          1       0.15       0.15      22.77
        61.75 |          1       0.15       0.15      22.92
        61.78 |          1       0.15       0.15      23.08
        61.87 |          1       0.15       0.15      23.23
        61.90 |          1       0.15       0.15      23.38
        61.90 |          1       0.15       0.15      23.54
        61.93 |          1       0.15       0.15      23.69
        61.95 |          1       0.15       0.15      23.85
        61.95 |          1       0.15       0.15      24.00
        61.99 |          1       0.15       0.15      24.15
        62.06 |          1       0.15       0.15      24.31
        62.09 |          1       0.15       0.15      24.46
        62.15 |          1       0.15       0.15      24.62
        62.15 |          1       0.15       0.15      24.77
        62.15 |          1       0.15       0.15      24.92
        62.21 |          1       0.15       0.15      25.08
        62.26 |          1       0.15       0.15      25.23
        62.32 |          1       0.15       0.15      25.38
        62.39 |          1       0.15       0.15      25.54
        62.40 |          1       0.15       0.15      25.69
        62.42 |          1       0.15       0.15      25.85
        62.46 |          1       0.15       0.15      26.00
        62.47 |          1       0.15       0.15      26.15
        62.50 |          1       0.15       0.15      26.31
        62.53 |          1       0.15       0.15      26.46
        62.55 |          1       0.15       0.15      26.62
        62.56 |          1       0.15       0.15      26.77
        62.62 |          1       0.15       0.15      26.92
        62.67 |          1       0.15       0.15      27.08
        62.68 |          1       0.15       0.15      27.23
        62.71 |          1       0.15       0.15      27.38
        62.71 |          1       0.15       0.15      27.54
        62.76 |          1       0.15       0.15      27.69
        62.78 |          1       0.15       0.15      27.85
        62.81 |          1       0.15       0.15      28.00
        62.81 |          1       0.15       0.15      28.15
        62.81 |          1       0.15       0.15      28.31
        62.82 |          1       0.15       0.15      28.46
        62.94 |          1       0.15       0.15      28.62
        62.97 |          1       0.15       0.15      28.77
        63.02 |          1       0.15       0.15      28.92
        63.06 |          1       0.15       0.15      29.08
        63.09 |          1       0.15       0.15      29.23
        63.10 |          1       0.15       0.15      29.38
        63.12 |          1       0.15       0.15      29.54
        63.12 |          1       0.15       0.15      29.69
        63.13 |          1       0.15       0.15      29.85
        63.17 |          1       0.15       0.15      30.00
        63.19 |          1       0.15       0.15      30.15
        63.26 |          1       0.15       0.15      30.31
        63.28 |          1       0.15       0.15      30.46
        63.30 |          1       0.15       0.15      30.62
        63.31 |          1       0.15       0.15      30.77
        63.31 |          1       0.15       0.15      30.92
        63.31 |          1       0.15       0.15      31.08
        63.42 |          1       0.15       0.15      31.23
        63.43 |          1       0.15       0.15      31.38
        63.44 |          1       0.15       0.15      31.54
        63.45 |          1       0.15       0.15      31.69
        63.48 |          1       0.15       0.15      31.85
        63.49 |          1       0.15       0.15      32.00
        63.50 |          1       0.15       0.15      32.15
        63.54 |          1       0.15       0.15      32.31
        63.56 |          1       0.15       0.15      32.46
        63.65 |          1       0.15       0.15      32.62
        63.65 |          1       0.15       0.15      32.77
        63.67 |          1       0.15       0.15      32.92
        63.67 |          1       0.15       0.15      33.08
        63.71 |          1       0.15       0.15      33.23
        63.71 |          1       0.15       0.15      33.38
        63.74 |          1       0.15       0.15      33.54
        63.80 |          1       0.15       0.15      33.69
        63.85 |          1       0.15       0.15      33.85
        63.86 |          1       0.15       0.15      34.00
        63.87 |          1       0.15       0.15      34.15
        63.94 |          1       0.15       0.15      34.31
        63.95 |          1       0.15       0.15      34.46
        63.98 |          1       0.15       0.15      34.62
        63.98 |          1       0.15       0.15      34.77
        63.98 |          1       0.15       0.15      34.92
        64.03 |          1       0.15       0.15      35.08
        64.04 |          1       0.15       0.15      35.23
        64.04 |          1       0.15       0.15      35.38
        64.05 |          1       0.15       0.15      35.54
        64.06 |          1       0.15       0.15      35.69
        64.09 |          1       0.15       0.15      35.85
        64.12 |          1       0.15       0.15      36.00
        64.14 |          1       0.15       0.15      36.15
        64.19 |          1       0.15       0.15      36.31
        64.20 |          1       0.15       0.15      36.46
        64.20 |          1       0.15       0.15      36.62
        64.22 |          1       0.15       0.15      36.77
        64.27 |          1       0.15       0.15      36.92
        64.29 |          1       0.15       0.15      37.08
        64.30 |          1       0.15       0.15      37.23
        64.31 |          1       0.15       0.15      37.38
        64.32 |          1       0.15       0.15      37.54
        64.33 |          1       0.15       0.15      37.69
        64.34 |          1       0.15       0.15      37.85
        64.35 |          1       0.15       0.15      38.00
        64.37 |          1       0.15       0.15      38.15
        64.41 |          1       0.15       0.15      38.31
        64.43 |          1       0.15       0.15      38.46
        64.44 |          1       0.15       0.15      38.62
        64.47 |          1       0.15       0.15      38.77
        64.50 |          1       0.15       0.15      38.92
        64.50 |          1       0.15       0.15      39.08
        64.52 |          1       0.15       0.15      39.23
        64.57 |          1       0.15       0.15      39.38
        64.60 |          1       0.15       0.15      39.54
        64.63 |          1       0.15       0.15      39.69
        64.66 |          1       0.15       0.15      39.85
        64.69 |          1       0.15       0.15      40.00
        64.69 |          1       0.15       0.15      40.15
        64.70 |          1       0.15       0.15      40.31
        64.75 |          1       0.15       0.15      40.46
        64.75 |          1       0.15       0.15      40.62
        64.76 |          1       0.15       0.15      40.77
        64.80 |          1       0.15       0.15      40.92
        64.89 |          1       0.15       0.15      41.08
        64.93 |          1       0.15       0.15      41.23
        64.93 |          1       0.15       0.15      41.38
        64.95 |          1       0.15       0.15      41.54
        64.97 |          1       0.15       0.15      41.69
        64.99 |          1       0.15       0.15      41.85
        65.02 |          1       0.15       0.15      42.00
        65.03 |          1       0.15       0.15      42.15
        65.07 |          1       0.15       0.15      42.31
        65.10 |          1       0.15       0.15      42.46
        65.16 |          1       0.15       0.15      42.62
        65.16 |          1       0.15       0.15      42.77
        65.18 |          1       0.15       0.15      42.92
        65.25 |          1       0.15       0.15      43.08
        65.25 |          1       0.15       0.15      43.23
        65.27 |          1       0.15       0.15      43.38
        65.28 |          1       0.15       0.15      43.54
        65.29 |          1       0.15       0.15      43.69
        65.29 |          1       0.15       0.15      43.85
        65.30 |          1       0.15       0.15      44.00
        65.31 |          1       0.15       0.15      44.15
        65.32 |          1       0.15       0.15      44.31
        65.35 |          1       0.15       0.15      44.46
        65.37 |          1       0.15       0.15      44.62
        65.37 |          1       0.15       0.15      44.77
        65.37 |          1       0.15       0.15      44.92
        65.40 |          1       0.15       0.15      45.08
        65.43 |          1       0.15       0.15      45.23
        65.44 |          1       0.15       0.15      45.38
        65.46 |          1       0.15       0.15      45.54
        65.50 |          1       0.15       0.15      45.69
        65.51 |          1       0.15       0.15      45.85
        65.54 |          1       0.15       0.15      46.00
        65.56 |          1       0.15       0.15      46.15
        65.57 |          1       0.15       0.15      46.31
        65.58 |          1       0.15       0.15      46.46
        65.60 |          1       0.15       0.15      46.62
        65.62 |          1       0.15       0.15      46.77
        65.67 |          1       0.15       0.15      46.92
        65.68 |          1       0.15       0.15      47.08
        65.69 |          1       0.15       0.15      47.23
        65.71 |          1       0.15       0.15      47.38
        65.72 |          1       0.15       0.15      47.54
        65.72 |          1       0.15       0.15      47.69
        65.72 |          1       0.15       0.15      47.85
        65.76 |          1       0.15       0.15      48.00
        65.77 |          1       0.15       0.15      48.15
        65.79 |          1       0.15       0.15      48.31
        65.84 |          1       0.15       0.15      48.46
        65.85 |          1       0.15       0.15      48.62
        65.86 |          1       0.15       0.15      48.77
        65.90 |          1       0.15       0.15      48.92
        65.92 |          1       0.15       0.15      49.08
        65.99 |          1       0.15       0.15      49.23
        66.00 |          1       0.15       0.15      49.38
        66.01 |          1       0.15       0.15      49.54
        66.03 |          1       0.15       0.15      49.69
        66.04 |          1       0.15       0.15      49.85
        66.05 |          1       0.15       0.15      50.00
        66.09 |          1       0.15       0.15      50.15
        66.10 |          1       0.15       0.15      50.31
        66.10 |          1       0.15       0.15      50.46
        66.11 |          1       0.15       0.15      50.62
        66.13 |          1       0.15       0.15      50.77
        66.14 |          1       0.15       0.15      50.92
        66.14 |          1       0.15       0.15      51.08
        66.14 |          1       0.15       0.15      51.23
        66.15 |          1       0.15       0.15      51.38
        66.17 |          1       0.15       0.15      51.54
        66.18 |          1       0.15       0.15      51.69
        66.25 |          1       0.15       0.15      51.85
        66.29 |          1       0.15       0.15      52.00
        66.31 |          1       0.15       0.15      52.15
        66.31 |          1       0.15       0.15      52.31
        66.38 |          1       0.15       0.15      52.46
        66.38 |          1       0.15       0.15      52.62
        66.42 |          1       0.15       0.15      52.77
        66.46 |          1       0.15       0.15      52.92
        66.48 |          1       0.15       0.15      53.08
        66.52 |          1       0.15       0.15      53.23
        66.56 |          1       0.15       0.15      53.38
        66.56 |          1       0.15       0.15      53.54
        66.57 |          1       0.15       0.15      53.69
        66.61 |          1       0.15       0.15      53.85
        66.65 |          1       0.15       0.15      54.00
        66.66 |          1       0.15       0.15      54.15
        66.66 |          1       0.15       0.15      54.31
        66.70 |          1       0.15       0.15      54.46
        66.71 |          1       0.15       0.15      54.62
        66.72 |          1       0.15       0.15      54.77
        66.73 |          1       0.15       0.15      54.92
        66.78 |          1       0.15       0.15      55.08
        66.80 |          1       0.15       0.15      55.23
        66.80 |          1       0.15       0.15      55.38
        66.80 |          1       0.15       0.15      55.54
        66.83 |          1       0.15       0.15      55.69
        66.84 |          1       0.15       0.15      55.85
        66.87 |          1       0.15       0.15      56.00
        66.89 |          1       0.15       0.15      56.15
        66.91 |          1       0.15       0.15      56.31
        66.91 |          1       0.15       0.15      56.46
        66.93 |          1       0.15       0.15      56.62
        66.96 |          1       0.15       0.15      56.77
        66.97 |          1       0.15       0.15      56.92
        67.02 |          1       0.15       0.15      57.08
        67.04 |          1       0.15       0.15      57.23
        67.10 |          1       0.15       0.15      57.38
        67.11 |          1       0.15       0.15      57.54
        67.18 |          1       0.15       0.15      57.69
        67.19 |          1       0.15       0.15      57.85
        67.21 |          1       0.15       0.15      58.00
        67.30 |          1       0.15       0.15      58.15
        67.31 |          1       0.15       0.15      58.31
        67.32 |          1       0.15       0.15      58.46
        67.34 |          1       0.15       0.15      58.62
        67.36 |          1       0.15       0.15      58.77
        67.40 |          1       0.15       0.15      58.92
        67.40 |          1       0.15       0.15      59.08
        67.41 |          1       0.15       0.15      59.23
        67.45 |          1       0.15       0.15      59.38
        67.45 |          1       0.15       0.15      59.54
        67.51 |          1       0.15       0.15      59.69
        67.54 |          1       0.15       0.15      59.85
        67.57 |          1       0.15       0.15      60.00
        67.57 |          1       0.15       0.15      60.15
        67.60 |          1       0.15       0.15      60.31
        67.62 |          1       0.15       0.15      60.46
        67.62 |          1       0.15       0.15      60.62
        67.64 |          1       0.15       0.15      60.77
        67.65 |          1       0.15       0.15      60.92
        67.67 |          1       0.15       0.15      61.08
        67.67 |          1       0.15       0.15      61.23
        67.68 |          1       0.15       0.15      61.38
        67.68 |          1       0.15       0.15      61.54
        67.70 |          1       0.15       0.15      61.69
        67.76 |          1       0.15       0.15      61.85
        67.79 |          1       0.15       0.15      62.00
        67.79 |          1       0.15       0.15      62.15
        67.80 |          1       0.15       0.15      62.31
        67.82 |          1       0.15       0.15      62.46
        67.82 |          1       0.15       0.15      62.62
        67.83 |          1       0.15       0.15      62.77
        67.85 |          1       0.15       0.15      62.92
        67.86 |          1       0.15       0.15      63.08
        67.92 |          1       0.15       0.15      63.23
        67.93 |          1       0.15       0.15      63.38
        68.00 |          1       0.15       0.15      63.54
        68.00 |          1       0.15       0.15      63.69
        68.02 |          1       0.15       0.15      63.85
        68.07 |          1       0.15       0.15      64.00
        68.08 |          1       0.15       0.15      64.15
        68.11 |          1       0.15       0.15      64.31
        68.12 |          1       0.15       0.15      64.46
        68.16 |          1       0.15       0.15      64.62
        68.16 |          1       0.15       0.15      64.77
        68.19 |          1       0.15       0.15      64.92
        68.28 |          1       0.15       0.15      65.08
        68.28 |          1       0.15       0.15      65.23
        68.29 |          1       0.15       0.15      65.38
        68.35 |          1       0.15       0.15      65.54
        68.37 |          1       0.15       0.15      65.69
        68.40 |          1       0.15       0.15      65.85
        68.45 |          1       0.15       0.15      66.00
        68.45 |          1       0.15       0.15      66.15
        68.45 |          1       0.15       0.15      66.31
        68.48 |          1       0.15       0.15      66.46
        68.49 |          1       0.15       0.15      66.62
        68.52 |          1       0.15       0.15      66.77
        68.74 |          1       0.15       0.15      66.92
        68.75 |          1       0.15       0.15      67.08
        68.75 |          1       0.15       0.15      67.23
        68.79 |          1       0.15       0.15      67.38
        68.79 |          1       0.15       0.15      67.54
        68.80 |          1       0.15       0.15      67.69
        68.80 |          1       0.15       0.15      67.85
        68.81 |          1       0.15       0.15      68.00
        68.82 |          1       0.15       0.15      68.15
        68.84 |          1       0.15       0.15      68.31
        68.85 |          1       0.15       0.15      68.46
        68.85 |          1       0.15       0.15      68.62
        68.86 |          1       0.15       0.15      68.77
        68.92 |          1       0.15       0.15      68.92
        68.93 |          1       0.15       0.15      69.08
        68.94 |          1       0.15       0.15      69.23
        68.95 |          1       0.15       0.15      69.38
        68.99 |          1       0.15       0.15      69.54
        69.01 |          1       0.15       0.15      69.69
        69.01 |          1       0.15       0.15      69.85
        69.06 |          1       0.15       0.15      70.00
        69.10 |          1       0.15       0.15      70.15
        69.13 |          1       0.15       0.15      70.31
        69.17 |          1       0.15       0.15      70.46
        69.18 |          1       0.15       0.15      70.62
        69.23 |          1       0.15       0.15      70.77
        69.25 |          1       0.15       0.15      70.92
        69.25 |          1       0.15       0.15      71.08
        69.27 |          1       0.15       0.15      71.23
        69.28 |          1       0.15       0.15      71.38
        69.39 |          1       0.15       0.15      71.54
        69.41 |          1       0.15       0.15      71.69
        69.41 |          1       0.15       0.15      71.85
        69.45 |          1       0.15       0.15      72.00
        69.50 |          1       0.15       0.15      72.15
        69.53 |          1       0.15       0.15      72.31
        69.54 |          1       0.15       0.15      72.46
        69.58 |          1       0.15       0.15      72.62
        69.62 |          1       0.15       0.15      72.77
        69.64 |          1       0.15       0.15      72.92
        69.65 |          1       0.15       0.15      73.08
        69.66 |          1       0.15       0.15      73.23
        69.73 |          1       0.15       0.15      73.38
        69.73 |          1       0.15       0.15      73.54
        69.73 |          1       0.15       0.15      73.69
        69.75 |          1       0.15       0.15      73.85
        69.77 |          1       0.15       0.15      74.00
        69.79 |          1       0.15       0.15      74.15
        69.83 |          1       0.15       0.15      74.31
        69.84 |          1       0.15       0.15      74.46
        69.84 |          1       0.15       0.15      74.62
        69.85 |          1       0.15       0.15      74.77
        69.86 |          1       0.15       0.15      74.92
        69.86 |          1       0.15       0.15      75.08
        69.89 |          1       0.15       0.15      75.23
        70.00 |          1       0.15       0.15      75.38
        70.04 |          1       0.15       0.15      75.54
        70.04 |          1       0.15       0.15      75.69
        70.06 |          1       0.15       0.15      75.85
        70.07 |          1       0.15       0.15      76.00
        70.08 |          1       0.15       0.15      76.15
        70.16 |          1       0.15       0.15      76.31
        70.17 |          1       0.15       0.15      76.46
        70.17 |          1       0.15       0.15      76.62
        70.21 |          1       0.15       0.15      76.77
        70.21 |          1       0.15       0.15      76.92
        70.23 |          1       0.15       0.15      77.08
        70.27 |          1       0.15       0.15      77.23
        70.33 |          1       0.15       0.15      77.38
        70.38 |          1       0.15       0.15      77.54
        70.39 |          1       0.15       0.15      77.69
        70.39 |          1       0.15       0.15      77.85
        70.40 |          1       0.15       0.15      78.00
        70.41 |          1       0.15       0.15      78.15
        70.41 |          1       0.15       0.15      78.31
        70.43 |          1       0.15       0.15      78.46
        70.44 |          1       0.15       0.15      78.62
        70.44 |          1       0.15       0.15      78.77
        70.46 |          1       0.15       0.15      78.92
        70.51 |          1       0.15       0.15      79.08
        70.51 |          1       0.15       0.15      79.23
        70.53 |          1       0.15       0.15      79.38
        70.56 |          1       0.15       0.15      79.54
        70.61 |          1       0.15       0.15      79.69
        70.62 |          1       0.15       0.15      79.85
        70.67 |          1       0.15       0.15      80.00
        70.75 |          1       0.15       0.15      80.15
        70.75 |          1       0.15       0.15      80.31
        70.77 |          1       0.15       0.15      80.46
        70.78 |          1       0.15       0.15      80.62
        70.79 |          1       0.15       0.15      80.77
        70.85 |          1       0.15       0.15      80.92
        70.87 |          1       0.15       0.15      81.08
        70.88 |          1       0.15       0.15      81.23
        70.88 |          1       0.15       0.15      81.38
        70.89 |          1       0.15       0.15      81.54
        70.95 |          1       0.15       0.15      81.69
        70.97 |          1       0.15       0.15      81.85
        70.97 |          1       0.15       0.15      82.00
        71.02 |          1       0.15       0.15      82.15
        71.03 |          1       0.15       0.15      82.31
        71.03 |          1       0.15       0.15      82.46
        71.12 |          1       0.15       0.15      82.62
        71.19 |          1       0.15       0.15      82.77
        71.20 |          1       0.15       0.15      82.92
        71.20 |          1       0.15       0.15      83.08
        71.26 |          1       0.15       0.15      83.23
        71.28 |          1       0.15       0.15      83.38
        71.28 |          1       0.15       0.15      83.54
        71.29 |          1       0.15       0.15      83.69
        71.34 |          1       0.15       0.15      83.85
        71.39 |          1       0.15       0.15      84.00
        71.40 |          1       0.15       0.15      84.15
        71.44 |          1       0.15       0.15      84.31
        71.45 |          1       0.15       0.15      84.46
        71.48 |          1       0.15       0.15      84.62
        71.49 |          1       0.15       0.15      84.77
        71.55 |          1       0.15       0.15      84.92
        71.55 |          1       0.15       0.15      85.08
        71.57 |          1       0.15       0.15      85.23
        71.71 |          1       0.15       0.15      85.38
        71.72 |          1       0.15       0.15      85.54
        71.75 |          1       0.15       0.15      85.69
        71.77 |          1       0.15       0.15      85.85
        71.78 |          1       0.15       0.15      86.00
        71.78 |          1       0.15       0.15      86.15
        71.79 |          1       0.15       0.15      86.31
        71.82 |          1       0.15       0.15      86.46
        71.84 |          1       0.15       0.15      86.62
        71.86 |          1       0.15       0.15      86.77
        71.97 |          1       0.15       0.15      86.92
        72.01 |          1       0.15       0.15      87.08
        72.05 |          1       0.15       0.15      87.23
        72.05 |          1       0.15       0.15      87.38
        72.07 |          1       0.15       0.15      87.54
        72.10 |          1       0.15       0.15      87.69
        72.19 |          1       0.15       0.15      87.85
        72.19 |          1       0.15       0.15      88.00
        72.20 |          1       0.15       0.15      88.15
        72.28 |          1       0.15       0.15      88.31
        72.37 |          1       0.15       0.15      88.46
        72.37 |          1       0.15       0.15      88.62
        72.40 |          1       0.15       0.15      88.77
        72.42 |          1       0.15       0.15      88.92
        72.48 |          1       0.15       0.15      89.08
        72.51 |          1       0.15       0.15      89.23
        72.52 |          1       0.15       0.15      89.38
        72.65 |          1       0.15       0.15      89.54
        72.66 |          1       0.15       0.15      89.69
        72.67 |          1       0.15       0.15      89.85
        72.71 |          1       0.15       0.15      90.00
        72.73 |          1       0.15       0.15      90.15
        72.77 |          1       0.15       0.15      90.31
        72.81 |          1       0.15       0.15      90.46
        72.86 |          1       0.15       0.15      90.62
        72.86 |          1       0.15       0.15      90.77
        72.91 |          1       0.15       0.15      90.92
        72.99 |          1       0.15       0.15      91.08
        73.00 |          1       0.15       0.15      91.23
        73.04 |          1       0.15       0.15      91.38
        73.07 |          1       0.15       0.15      91.54
        73.12 |          1       0.15       0.15      91.69
        73.13 |          1       0.15       0.15      91.85
        73.15 |          1       0.15       0.15      92.00
        73.16 |          1       0.15       0.15      92.15
        73.20 |          1       0.15       0.15      92.31
        73.20 |          1       0.15       0.15      92.46
        73.21 |          1       0.15       0.15      92.62
        73.22 |          1       0.15       0.15      92.77
        73.27 |          1       0.15       0.15      92.92
        73.33 |          1       0.15       0.15      93.08
        73.34 |          1       0.15       0.15      93.23
        73.36 |          1       0.15       0.15      93.38
        73.39 |          1       0.15       0.15      93.54
        73.59 |          1       0.15       0.15      93.69
        73.59 |          1       0.15       0.15      93.85
        73.62 |          1       0.15       0.15      94.00
        73.65 |          1       0.15       0.15      94.15
        73.66 |          1       0.15       0.15      94.31
        73.67 |          1       0.15       0.15      94.46
        73.67 |          1       0.15       0.15      94.62
        73.68 |          1       0.15       0.15      94.77
        73.69 |          1       0.15       0.15      94.92
        73.75 |          1       0.15       0.15      95.08
        73.78 |          1       0.15       0.15      95.23
        73.90 |          1       0.15       0.15      95.38
        74.00 |          1       0.15       0.15      95.54
        74.01 |          1       0.15       0.15      95.69
        74.21 |          1       0.15       0.15      95.85
        74.30 |          1       0.15       0.15      96.00
        74.32 |          1       0.15       0.15      96.15
        74.39 |          1       0.15       0.15      96.31
        74.39 |          1       0.15       0.15      96.46
        74.57 |          1       0.15       0.15      96.62
        74.67 |          1       0.15       0.15      96.77
        74.69 |          1       0.15       0.15      96.92
        74.70 |          1       0.15       0.15      97.08
        75.01 |          1       0.15       0.15      97.23
        75.03 |          1       0.15       0.15      97.38
        75.04 |          1       0.15       0.15      97.54
        75.05 |          1       0.15       0.15      97.69
        75.10 |          1       0.15       0.15      97.85
        75.25 |          1       0.15       0.15      98.00
        75.28 |          1       0.15       0.15      98.15
        75.31 |          1       0.15       0.15      98.31
        75.61 |          1       0.15       0.15      98.46
        75.66 |          1       0.15       0.15      98.62
        75.83 |          1       0.15       0.15      98.77
        75.97 |          1       0.15       0.15      98.92
        75.97 |          1       0.15       0.15      99.08
        76.16 |          1       0.15       0.15      99.23
        76.19 |          1       0.15       0.15      99.38
        76.21 |          1       0.15       0.15      99.54
        76.95 |          1       0.15       0.15      99.69
        77.55 |          1       0.15       0.15      99.85
        78.80 |          1       0.15       0.15     100.00
        Total |        650     100.00     100.00           
-----------------------------------------------------------

. save UKgeneral2010, replace
file UKgeneral2010.dta saved

. 
. *** 2019 general elections results (EU elections simultaneously)
. import excel using UKgeneral2019.xlsx, first clear
(10 vars, 650 obs)

. drop valid_votes invalid_votes

. gen Year = 2019

. gen local_el = 0

. gen coverage = 0

. gen local_authorities_el = 0

. gen coverage_loc_auth = 0

. save UKgeneral2019, replace
file UKgeneral2019.dta saved

. 
. * checking whether constitutencies in 2010 match (2019 do because we have ConstituencyID)
. *use UK_2017_prep.dta
. *merge 1:1 Constituency using UKgeneral2010, gen (merge1)
. *perfect match
. 
. ** append 2010 and 2019 elections to the original
. use UK_dataset.dta, clear

. append using UKgeneral2010

. 
. ***** adding 2019 general elections results
. append using UKgeneral2019
(variable County was str22, now str23 to accommodate using data's values)

. 
. * copy variables from different observations (Type, Region, County, ID, Constituency ID)
. sort Constituency Year

. bysort Constituency (Type) : replace Type = Type[2]
(691 real changes made)

. bysort Constituency (Region) : replace Region = Region[2]
(228 real changes made)

. bysort Constituency (County) : replace County = County[2]
(748 real changes made)

. bysort Constituency (ID) : replace ID = ID[2]
(1,300 real changes made)

. bysort Constituency (ConstituencyID) : replace ConstituencyID = ConstituencyID[2]
(650 real changes made)

. 
. *** adding labels 
. label var Registered "Registered voters"

. label var Voted "Total voted"

. label var Turnout "Total turnout"

. label var Type "Type of constituency"

. label var Region "Region"

. label var County "County"

. label var local_el "Local elections (England)"

. replace coverage = coverage / 100
(317 real changes made)

. label var coverage "Coverage of local elections (England, share)"

. replace coverage_loc_auth = coverage_loc_auth / 100
(99 real changes made)

. label var local_authorities_el "Local authorities elections (Wales and Scotland, share)"

. label var coverage_loc_auth "Coverage of local authorities elections (Wales and Scotland)"

. 
. fre Region

Region -- Region
------------------------------------------------------------------------------
                                 |      Freq.    Percent      Valid       Cum.
---------------------------------+--------------------------------------------
Valid   East Midlands            |        184       7.08       7.08       7.08
        Eastern                  |        232       8.92       8.92      16.00
        London                   |        292      11.23      11.23      27.23
        NI                       |         72       2.77       2.77      30.00
        North East               |        116       4.46       4.46      34.46
        North West               |        300      11.54      11.54      46.00
        Scotland                 |        236       9.08       9.08      55.08
        South East               |        336      12.92      12.92      68.00
        South West               |        220       8.46       8.46      76.46
        Wales                    |        160       6.15       6.15      82.62
        West Midlands            |        236       9.08       9.08      91.69
        Yorkshire and the Humber |        216       8.31       8.31     100.00
        Total                    |       2600     100.00     100.00           
------------------------------------------------------------------------------

. replace Region = "Wales" if Region == "wales" 
(0 real changes made)

. 
. save UK_dataset_final, replace
file UK_dataset_final.dta saved

.  
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
end of do-file

. do "C:\Users\fkostelk\Dropbox\Replication_EF\Code\2a_2.do" 

. *********************************************************************************
. *                                                                               *
. *                  Election Frequency - UK Case Study                               *
. *                                                                               *
. *                                       Analysis                                                                               
>  *
. *                                                                               *
. *********************************************************************************
. 
. global beg_path `"C:\Users\fkostelk\Dropbox\Replication_EF\"'  // F - Home

. 
.  cd `"${beg_path}Data\Analysis 2A"'
C:\Users\fkostelk\Dropbox\Replication_EF\Data\Analysis 2A

.  
. *** Uploading the data ***
. 
. use UK_dataset_final.dta, clear

. 
. 
. *** Preparing the data *** 
. 
. *Region variables 
. encode(Constituency), gen(constit)

. fre constit 

constit -- Constituency
-----------------------------------------------------------------------------------------------------
                                                        |      Freq.    Percent      Valid       Cum.
--------------------------------------------------------+--------------------------------------------
Valid   1   Aberavon                                    |          4       0.15       0.15       0.15
        2   Aberconwy                                   |          4       0.15       0.15       0.31
        3   Aberdeen North                              |          4       0.15       0.15       0.46
        4   Aberdeen South                              |          4       0.15       0.15       0.62
        5   Airdrie and Shotts                          |          4       0.15       0.15       0.77
        6   Aldershot                                   |          4       0.15       0.15       0.92
        7   Aldridge-Brownhills                         |          4       0.15       0.15       1.08
        8   Altrincham and Sale West                    |          4       0.15       0.15       1.23
        9   Alyn and Deeside                            |          4       0.15       0.15       1.38
        10  Amber Valley                                |          4       0.15       0.15       1.54
        11  Angus                                       |          4       0.15       0.15       1.69
        12  Arfon                                       |          4       0.15       0.15       1.85
        13  Argyll and Bute                             |          4       0.15       0.15       2.00
        14  Arundel and South Downs                     |          4       0.15       0.15       2.15
        15  Ashfield                                    |          4       0.15       0.15       2.31
        16  Ashford                                     |          4       0.15       0.15       2.46
        17  Ashton-under-Lyne                           |          4       0.15       0.15       2.62
        18  Aylesbury                                   |          4       0.15       0.15       2.77
        19  Ayr, Carrick and Cumnock                    |          4       0.15       0.15       2.92
        20  Banbury                                     |          4       0.15       0.15       3.08
        :                                               |          :          :          :          :
        631 Witham                                      |          4       0.15       0.15      97.08
        632 Witney                                      |          4       0.15       0.15      97.23
        633 Woking                                      |          4       0.15       0.15      97.38
        634 Wokingham                                   |          4       0.15       0.15      97.54
        635 Wolverhampton North East                    |          4       0.15       0.15      97.69
        636 Wolverhampton South East                    |          4       0.15       0.15      97.85
        637 Wolverhampton South West                    |          4       0.15       0.15      98.00
        638 Worcester                                   |          4       0.15       0.15      98.15
        639 Workington                                  |          4       0.15       0.15      98.31
        640 Worsley and Eccles South                    |          4       0.15       0.15      98.46
        641 Worthing West                               |          4       0.15       0.15      98.62
        642 Wrexham                                     |          4       0.15       0.15      98.77
        643 Wycombe                                     |          4       0.15       0.15      98.92
        644 Wyre Forest                                 |          4       0.15       0.15      99.08
        645 Wyre and Preston North                      |          4       0.15       0.15      99.23
        646 Wythenshawe and Sale East                   |          4       0.15       0.15      99.38
        647 Yeovil                                      |          4       0.15       0.15      99.54
        648 Ynys Môn                                    |          4       0.15       0.15      99.69
        649 York Central                                |          4       0.15       0.15      99.85
        650 York Outer                                  |          4       0.15       0.15     100.00
        Total                                           |       2600     100.00     100.00           
-----------------------------------------------------------------------------------------------------

. 
. encode(Region), gen(REGION)

. lab var REGION "Region" 

. gen Wales = REGION == 10 

. lab var Wales "Wales" 

. gen Scotland = REGION == 7

. lab var Scotland "Scotland" 

. gen England = inlist(REGION, 1, 2, 3, 5, 6, 8, 9, 11, 12)

. lab var England "England" 

. gen N_Ireland = inlist(REGION, 4)

. lab var N_Ireland "Northern Ireland" 

. 
. *Getting rid of non-English constituencies (not studied by the paper)
. drop if Wales == 1 | Scotland == 1 | N_Ireland ==1 
(468 observations deleted)

. 
. *Constituency c_type 
. encode(Type), gen(c_type) 

. lab var c_type "Constituency type"

. 
. *Registered voters (ln)
. gen Registered_log = ln(Registered)

. lab var Registered_log "Registered voters (ln)" 

. 
. *Creating variables that identify the treatment for the entire dataset 
. replace local_el = 0 if inlist(Year, 2010, 2019)
(0 real changes made)

. replace local_authorities_el =0 if inlist(Year, 2010, 2019)
(0 real changes made)

. gen Local = local_el 

. lab var local_el "England-Treatment" 

. 
. *Turnout in different years as time-invariant variables for each constituency
. gen var_temp1 = Turnout if Year == 2015
(1,599 missing values generated)

. egen Turnout_2015 = mode(var_temp1), by(constit)

. lab var Turnout_2015 "Turnout in 2015" 

. 
. gen var_temp2 = Turnout if Year == 2010
(1,599 missing values generated)

. egen Turnout_2010 = mode(var_temp2), by(constit)

. lab var Turnout_2010 "Turnout in 2010" 

. 
. gen var_temp3 = Turnout if Year == 2019
(1,599 missing values generated)

. egen Turnout_2019 = mode(var_temp3), by(constit)

. lab var Turnout_2019 "Turnout in 2019" 

. 
. ***********************************************************************
. *** Visual inspection of the parallel trends assumption (Figure XY) ***
. ***********************************************************************
. 
. *Creating variables useful for inspecting the parallel trends assumptions
. egen temp1 = max(local_el), by(constit) // creating a variable that identify treated constituencies in 2017 in England for all 
> election years  

. 
. cap set scheme bw // Setting a graph scheme (not essential for the replication)

. preserve

. collapse Turnout, by(temp1 Year Wales Scotland England)

. tw connected Turnout Year if temp1 ==1 & England == 1 || connected Turnout Year if temp1 ==0 & England == 1, name(graph1, repla
> ce) xlabel(2010 2015 2017 2019, grid) /// 
> legend(lab(1 "England-Treatment: local elections in 2017") lab(2 "England-Control: no local elections in 2017") position(6) siz
> e(vsmall) row(1)) ytitle("Turnout (%)") xtitle("Election year", margin(medsmall)) ylabel(62(2)72) 

. restore 

.  
. cd `"${beg_path}/Results"'
C:\Users\fkostelk\Dropbox\Replication_EF\Results

. 
. graph export "Figure_5.eps", replace  // width(3000) 
file Figure_5.eps saved as EPS format

. 
. 
. ***********************************************************
. *** Formal inspection of the parallel trends assumption *** 
. ***********************************************************
.  
. 
. **************** 
. *** Table A8 *** 
. ****************
. 
. eststo clear 

. eststo M1: reg Turnout temp1 if inlist(Year, 2010) 

      Source |       SS           df       MS      Number of obs   =       533
-------------+----------------------------------   F(1, 531)       =     53.93
       Model |  1508.51313         1  1508.51313   Prob > F        =    0.0000
    Residual |  14852.1912       531  27.9702283   R-squared       =    0.0922
-------------+----------------------------------   Adj R-squared   =    0.0905
       Total |  16360.7043       532  30.7532036   Root MSE        =    5.2887

------------------------------------------------------------------------------
     Turnout | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       temp1 |   3.426744   .4666111     7.34   0.000     2.510114    4.343374
       _cons |   64.08728   .3598497   178.09   0.000     63.38038    64.79419
------------------------------------------------------------------------------

. estadd local fixed "No" , replace 

added macro:
              e(fixed) : "No"

. eststo M2: reg Turnout temp1 if inlist(Year, 2015)

      Source |       SS           df       MS      Number of obs   =       533
-------------+----------------------------------   F(1, 531)       =     49.52
       Model |  1210.84467         1  1210.84467   Prob > F        =    0.0000
    Residual |  12982.5463       531  24.4492398   R-squared       =    0.0853
-------------+----------------------------------   Adj R-squared   =    0.0836
       Total |   14193.391       532  26.6793064   Root MSE        =    4.9446

------------------------------------------------------------------------------
     Turnout | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       temp1 |   3.070091   .4362544     7.04   0.000     2.213095    3.927088
       _cons |   64.81816   .3364386   192.66   0.000     64.15725    65.47908
------------------------------------------------------------------------------

. estadd local fixed "No" , replace 

added macro:
              e(fixed) : "No"

. eststo M3: reg Turnout temp1 if inlist(Year, 2017)

      Source |       SS           df       MS      Number of obs   =       533
-------------+----------------------------------   F(1, 531)       =     18.09
       Model |  422.528584         1  422.528584   Prob > F        =    0.0000
    Residual |  12404.1683       531  23.3600156   R-squared       =    0.0329
-------------+----------------------------------   Adj R-squared   =    0.0311
       Total |  12826.6969       532  24.1103325   Root MSE        =    4.8332

------------------------------------------------------------------------------
     Turnout | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       temp1 |   1.813573    .426426     4.25   0.000     .9758845    2.651262
       _cons |   68.48611    .328859   208.25   0.000     67.84009    69.13214
------------------------------------------------------------------------------

. estadd local fixed "No" , replace 

added macro:
              e(fixed) : "No"

. eststo M4: reg Turnout temp1 if inlist(Year, 2019)

      Source |       SS           df       MS      Number of obs   =       533
-------------+----------------------------------   F(1, 531)       =     34.84
       Model |  1118.58897         1  1118.58897   Prob > F        =    0.0000
    Residual |  17047.2686       531  32.1040841   R-squared       =    0.0616
-------------+----------------------------------   Adj R-squared   =    0.0598
       Total |  18165.8576       532  34.1463489   Root MSE        =     5.666

------------------------------------------------------------------------------
     Turnout | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       temp1 |   2.950818   .4999047     5.90   0.000     1.968784    3.932851
       _cons |   65.82104   .3855256   170.73   0.000      65.0637    66.57839
------------------------------------------------------------------------------

. estadd local fixed "No" , replace 

added macro:
              e(fixed) : "No"

. eststo M5: areg Turnout i.temp1##ib2010.Year  if REGION!=4, absorb(ID) cluster(ID)
note: 1.temp1 omitted because of collinearity.

Linear regression, absorbing indicators             Number of obs     =  2,132
Absorbed variable: ID                               No. of categories =    533
                                                    F(6, 532)         = 193.73
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9209
                                                    Adj R-squared     = 0.8942
                                                    Root MSE          = 1.7993

                                   (Std. err. adjusted for 533 clusters in ID)
------------------------------------------------------------------------------
             |               Robust
     Turnout | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     1.temp1 |          0  (omitted)
             |
        Year |
       2015  |   .7308783   .1784687     4.10   0.000     .3802886    1.081468
       2017  |   4.398826    .195293    22.52   0.000     4.015186    4.782466
       2019  |   1.733759   .2545134     6.81   0.000     1.233785    2.233734
             |
  temp1#Year |
     1 2015  |  -.3566524   .2370056    -1.50   0.133    -.8222341    .1089293
     1 2017  |   -1.61317   .2721119    -5.93   0.000    -2.147716   -1.078625
     1 2019  |  -.4759263    .333233    -1.43   0.154     -1.13054    .1786876
             |
       _cons |   66.12533   .0941687   702.20   0.000     65.94034    66.31032
------------------------------------------------------------------------------

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

. 
. esttab M1 M2 M3 M4 M5 using A_Table_8.tex, one incelldelimite("\:") stats(fixed N r2, labels("Constituency FE" "N" "R2") layout
> ("\multicolumn{1}{c}{@}" "\multicolumn{1}{c}{$@$}" "\multicolumn{1}{c}{$@$}") fmt(0 0 2)) replace b(2) se(2) wide staraux ///
>                 star(* 0.05 ** 0.01 *** 0.001) eqlabels(none) order(temp1 1.temp1#2015.Year 1.temp1#2017.Year 1.temp1#2019.Year
>  2015.Year  2017.Year  2019.Year) /// 
>                 keep(temp1 1.temp1#2015.Year 1.temp1#2017.Year 1.temp1#2019.Year 2015.Year  2017.Year  2019.Year) ///
>                 varlabels(temp1 "England-Tratment" 1.temp1#2015.Year "England Treatment in 2015 (placebo)" 1.temp1#2017.Year "E
> ngland Treatment in 2017" 1.temp1#2019.Year "England Treatment in 2019 (placebo)" ///
>                 2015.Year "2015" 2017.Year "2017" 2019.Year "2019" _cons "Constant") nolegend note("") alignment(d{10}) mtitles
> ("2010" "2015" "2017" "2019" "All Years")
(output written to A_Table_8.tex)

. 
.  
.   
.                 
. ***************
. *** Table 2 *** 
. ***************
. *Last preparation 
. gen placebo_in_2015 = temp1==1 & Year == 2015

. gen placebo_in_2010 = temp1==1 & Year == 2010

. gen Placebo_in_2019 = temp1==1 & Year == 2019 

.                 
. recode Year (2010 = 1) (2015 = 2) (2017 = 3) (2019 = 4), gen(el_number)         
(2132 differences between Year and el_number)

. tsset constit el_number         

Panel variable: constit (strongly balanced)
 Time variable: el_number, 1 to 4
         Delta: 1 unit

. 
. eststo clear 

. eststo M1: reg d.Turnout d.local_el if Year==2017 //  

      Source |       SS           df       MS      Number of obs   =       533
-------------+----------------------------------   F(1, 531)       =     48.44
       Model |  202.825828         1  202.825828   Prob > F        =    0.0000
    Residual |  2223.23785       531  4.18688861   R-squared       =    0.0836
-------------+----------------------------------   Adj R-squared   =    0.0819
       Total |  2426.06368       532  4.56027008   Root MSE        =    2.0462

------------------------------------------------------------------------------
   D.Turnout | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
    local_el |
         D1. |  -1.256518   .1805314    -6.96   0.000    -1.611161   -.9018746
             |
       _cons |   3.667948   .1392255    26.35   0.000     3.394448    3.941448
------------------------------------------------------------------------------

. estadd local controls "No"

added macro:
           e(controls) : "No"

. estadd local LDV "No"

added macro:
                e(LDV) : "No"

. 
. eststo M2: reg d.Turnout d.local_el   d.Registered_log d.difference d.CON d.LAB d.LD d.UKIP Brexit_Leave_Han  if Year==2017 // 
> local_el Wales Scotland  local_el Wales Scotland 

      Source |       SS           df       MS      Number of obs   =       533
-------------+----------------------------------   F(8, 524)       =     59.48
       Model |  1154.64543         8  144.330679   Prob > F        =    0.0000
    Residual |  1271.41825       524   2.4263707   R-squared       =    0.4759
-------------+----------------------------------   Adj R-squared   =    0.4679
       Total |  2426.06368       532  4.56027008   Root MSE        =    1.5577

----------------------------------------------------------------------------------
       D.Turnout | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-----------------+----------------------------------------------------------------
        local_el |
             D1. |  -.5208266   .1455844    -3.58   0.000    -.8068274   -.2348259
                 |
  Registered_log |
             D1. |  -49.86635   3.015306   -16.54   0.000    -55.78992   -43.94278
                 |
      difference |
             D1. |   .0045979   .0077495     0.59   0.553    -.0106259    .0198217
                 |
             CON |
             D1. |   .0018898   .0314071     0.06   0.952    -.0598095     .063589
                 |
             LAB |
             D1. |   .0567973   .0259737     2.19   0.029     .0057719    .1078227
                 |
              LD |
             D1. |  -.0251121   .0298413    -0.84   0.400    -.0837354    .0335112
                 |
            UKIP |
             D1. |    .104917     .03622     2.90   0.004     .0337627    .1760712
                 |
Brexit_Leave_Han |  -.0315602   .0126201    -2.50   0.013    -.0563524   -.0067679
           _cons |   6.334382    .572442    11.07   0.000     5.209818    7.458945
----------------------------------------------------------------------------------

. estadd local controls "Yes"

added macro:
           e(controls) : "Yes"

. estadd local LDV "No"

added macro:
                e(LDV) : "No"

. 
. eststo M3: reg d.Turnout d.coverage if Year==2017 

      Source |       SS           df       MS      Number of obs   =       533
-------------+----------------------------------   F(1, 531)       =     49.66
       Model |  207.500553         1  207.500553   Prob > F        =    0.0000
    Residual |  2218.56313       531  4.17808499   R-squared       =    0.0855
-------------+----------------------------------   Adj R-squared   =    0.0838
       Total |  2426.06368       532  4.56027008   Root MSE        =     2.044

------------------------------------------------------------------------------
   D.Turnout | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
    coverage |
         D1. |  -1.279478   .1815566    -7.05   0.000    -1.636136   -.9228212
             |
       _cons |   3.666432   .1379791    26.57   0.000      3.39538    3.937484
------------------------------------------------------------------------------

. estadd local controls "No"

added macro:
           e(controls) : "No"

. estadd local LDV "No"

added macro:
                e(LDV) : "No"

. 
. eststo M4: reg d.Turnout d.coverage  d.Registered_log d.difference d.CON d.LAB d.LD d.UKIP Brexit_Leave_Han if Year==2017 

      Source |       SS           df       MS      Number of obs   =       533
-------------+----------------------------------   F(8, 524)       =     59.79
       Model |  1157.71238         8  144.714047   Prob > F        =    0.0000
    Residual |  1268.35131       524  2.42051776   R-squared       =    0.4772
-------------+----------------------------------   Adj R-squared   =    0.4692
       Total |  2426.06368       532  4.56027008   Root MSE        =    1.5558

----------------------------------------------------------------------------------
       D.Turnout | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-----------------+----------------------------------------------------------------
        coverage |
             D1. |  -.5486906   .1461412    -3.75   0.000    -.8357853   -.2615959
                 |
  Registered_log |
             D1. |  -49.76829   3.012709   -16.52   0.000    -55.68677   -43.84982
                 |
      difference |
             D1. |   .0042701   .0077456     0.55   0.582    -.0109461    .0194863
                 |
             CON |
             D1. |   .0031742   .0313877     0.10   0.919    -.0584869    .0648354
                 |
             LAB |
             D1. |   .0566228   .0259403     2.18   0.029      .005663    .1075825
                 |
              LD |
             D1. |  -.0249367   .0298015    -0.84   0.403    -.0834818    .0336083
                 |
            UKIP |
             D1. |   .1053414   .0361771     2.91   0.004     .0342715    .1764113
                 |
Brexit_Leave_Han |  -.0319727   .0125953    -2.54   0.011    -.0567161   -.0072292
           _cons |   6.366272   .5720661    11.13   0.000     5.242448    7.490097
----------------------------------------------------------------------------------

. estadd local controls "Yes"

added macro:
           e(controls) : "Yes"

. estadd local LDV "No"

added macro:
                e(LDV) : "No"

. 
. eststo M5: reg Turnout local_el  c.Turnout_2015 c.Turnout_2015#c.Turnout_2015  if Year==2017 // Wales Scotland 

      Source |       SS           df       MS      Number of obs   =       533
-------------+----------------------------------   F(3, 529)       =    916.42
       Model |  10756.9033         3  3585.63444   Prob > F        =    0.0000
    Residual |  2069.79355       529  3.91265322   R-squared       =    0.8386
-------------+----------------------------------   Adj R-squared   =    0.8377
       Total |  12826.6969       532  24.1103325   Root MSE        =     1.978

-----------------------------------------------------------------------------------------------
                      Turnout | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
------------------------------+----------------------------------------------------------------
                     local_el |  -.9283279   .1825201    -5.09   0.000    -1.286881   -.5697748
                 Turnout_2015 |   1.157407   .3466092     3.34   0.001     .4765074    1.838306
                              |
c.Turnout_2015#c.Turnout_2015 |  -.0020258   .0026433    -0.77   0.444    -.0072185    .0031669
                              |
                        _cons |   2.034068   11.31443     0.18   0.857    -20.19267     24.2608
-----------------------------------------------------------------------------------------------

. estadd local controls "No"

added macro:
           e(controls) : "No"

. estadd local LDV "Yes"

added macro:
                e(LDV) : "Yes"

. 
. eststo M6: reg Turnout local_el c.Turnout_2015 c.Turnout_2015#c.Turnout_2015  Registered_log i.c_type difference  CON LAB LD UK
> IP Brexit_Leave_Han if Year==2017 // Wales Scotland  

      Source |       SS           df       MS      Number of obs   =       533
-------------+----------------------------------   F(11, 521)      =    353.02
       Model |  11309.3629        11   1028.1239   Prob > F        =    0.0000
    Residual |  1517.33403       521  2.91234938   R-squared       =    0.8817
-------------+----------------------------------   Adj R-squared   =    0.8792
       Total |  12826.6969       532  24.1103325   Root MSE        =    1.7066

-----------------------------------------------------------------------------------------------
                      Turnout | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
------------------------------+----------------------------------------------------------------
                     local_el |  -.3752624   .1777124    -2.11   0.035    -.7243833   -.0261416
                 Turnout_2015 |   1.576442   .3183495     4.95   0.000     .9510355    2.201848
                              |
c.Turnout_2015#c.Turnout_2015 |  -.0060092   .0024439    -2.46   0.014    -.0108103   -.0012081
                              |
               Registered_log |  -1.037932   .8659744    -1.20   0.231    -2.739163    .6632988
                              |
                       c_type |
                      County  |   .7920469   .2010648     3.94   0.000     .3970496    1.187044
                   difference |   .0022377   .0051387     0.44   0.663    -.0078574    .0123328
                          CON |   .0129368   .0158595     0.82   0.415    -.0182197    .0440933
                          LAB |    .025895    .015399     1.68   0.093    -.0043569    .0561468
                           LD |   .0337333   .0171062     1.97   0.049     .0001277    .0673389
                         UKIP |  -.1425496   .0454457    -3.14   0.002    -.2318289   -.0532703
             Brexit_Leave_Han |  -.0807954   .0112225    -7.20   0.000    -.1028422   -.0587485
                        _cons |   5.440498   13.31484     0.41   0.683    -20.71688    31.59787
-----------------------------------------------------------------------------------------------

. estadd local controls "Yes"

added macro:
           e(controls) : "Yes"

. estadd local LDV "Yes"

added macro:
                e(LDV) : "Yes"

. 
. eststo M7: reg Turnout coverage Turnout_2015 c.Turnout_2015#c.Turnout_2015 if Year==2017 // Coverage_Wales Coverage_Scotland 

      Source |       SS           df       MS      Number of obs   =       533
-------------+----------------------------------   F(3, 529)       =    917.58
       Model |  10759.1011         3  3586.36704   Prob > F        =    0.0000
    Residual |  2067.59578       529  3.90849864   R-squared       =    0.8388
-------------+----------------------------------   Adj R-squared   =    0.8379
       Total |  12826.6969       532  24.1103325   Root MSE        =     1.977

-----------------------------------------------------------------------------------------------
                      Turnout | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
------------------------------+----------------------------------------------------------------
                     coverage |  -.9459893   .1839078    -5.14   0.000    -1.307269   -.5847101
                 Turnout_2015 |   1.155351    .346406     3.34   0.001     .4748506    1.835851
                              |
c.Turnout_2015#c.Turnout_2015 |  -.0020047   .0026418    -0.76   0.448    -.0071944    .0031851
                              |
                        _cons |   2.075937   11.30788     0.18   0.854    -20.13792    24.28979
-----------------------------------------------------------------------------------------------

. estadd local controls "No"

added macro:
           e(controls) : "No"

. estadd local LDV "Yes"

added macro:
                e(LDV) : "Yes"

. 
. eststo M8: reg Turnout coverage Turnout_2015 c.Turnout_2015#c.Turnout_2015 Registered_log i.c_type difference CON LAB LD UKIP B
> rexit_Leave_Han if Year==2017 // Coverage_Wales Coverage_Scotland

      Source |       SS           df       MS      Number of obs   =       533
-------------+----------------------------------   F(11, 521)      =    353.68
       Model |  11311.8459        11  1028.34963   Prob > F        =    0.0000
    Residual |    1514.851       521   2.9075835   R-squared       =    0.8819
-------------+----------------------------------   Adj R-squared   =    0.8794
       Total |  12826.6969       532  24.1103325   Root MSE        =    1.7052

-----------------------------------------------------------------------------------------------
                      Turnout | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
------------------------------+----------------------------------------------------------------
                     coverage |  -.4116342   .1784616    -2.31   0.021     -.762227   -.0610414
                 Turnout_2015 |   1.580172    .318114     4.97   0.000     .9552285    2.205116
                              |
c.Turnout_2015#c.Turnout_2015 |  -.0060318    .002442    -2.47   0.014    -.0108292   -.0012343
                              |
               Registered_log |  -1.028791   .8649455    -1.19   0.235       -2.728    .6704186
                              |
                       c_type |
                      County  |   .7990237   .2008913     3.98   0.000     .4043671     1.19368
                   difference |   .0025236   .0051437     0.49   0.624    -.0075813    .0126285
                          CON |   .0128431   .0158464     0.81   0.418    -.0182877    .0439739
                          LAB |   .0257804    .015386     1.68   0.094    -.0044459    .0560066
                           LD |   .0340339   .0170945     1.99   0.047     .0004513    .0676165
                         UKIP |  -.1427363   .0453779    -3.15   0.002    -.2318824   -.0535901
             Brexit_Leave_Han |  -.0803687   .0112088    -7.17   0.000    -.1023888   -.0583486
                        _cons |   5.180425   13.30447     0.39   0.697    -20.95658    31.31743
-----------------------------------------------------------------------------------------------

. estadd local controls "Yes"

added macro:
           e(controls) : "Yes"

. estadd local LDV "Yes"

added macro:
                e(LDV) : "Yes"

. 
. eststo M9: reg Turnout placebo_in_2015 Turnout_2010 c.Turnout_2010#c.Turnout_2010  if Year==2015  // placebo_Wales placebo_Scot
> land

      Source |       SS           df       MS      Number of obs   =       533
-------------+----------------------------------   F(3, 529)       =    831.41
       Model |  11709.8422         3  3903.28072   Prob > F        =    0.0000
    Residual |  2483.54881       529  4.69479927   R-squared       =    0.8250
-------------+----------------------------------   Adj R-squared   =    0.8240
       Total |   14193.391       532  26.6793064   Root MSE        =    2.1667

-----------------------------------------------------------------------------------------------
                      Turnout | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
------------------------------+----------------------------------------------------------------
              placebo_in_2015 |   .1691203   .2007951     0.84   0.400    -.2253332    .5635739
                 Turnout_2010 |  -.2037881   .2905668    -0.70   0.483    -.7745945    .3670182
                              |
c.Turnout_2010#c.Turnout_2010 |     .00808   .0022486     3.59   0.000     .0036626    .0124973
                              |
                        _cons |   44.44085   9.351999     4.75   0.000     26.06923    62.81246
-----------------------------------------------------------------------------------------------

. estadd local controls "No"

added macro:
           e(controls) : "No"

. estadd local LDV "Yes"

added macro:
                e(LDV) : "Yes"

. 
. eststo M10: reg Turnout placebo_in_2015 Turnout_2010 c.Turnout_2010#c.Turnout_2010 Registered_log i.c_type difference CON LAB L
> D UKIP Brexit_Leave_Han if Year==2015 // placebo_Wales placebo_Scotland

      Source |       SS           df       MS      Number of obs   =       533
-------------+----------------------------------   F(11, 521)      =    283.94
       Model |  12164.2644        11  1105.84221   Prob > F        =    0.0000
    Residual |  2029.12662       521  3.89467682   R-squared       =    0.8570
-------------+----------------------------------   Adj R-squared   =    0.8540
       Total |   14193.391       532  26.6793064   Root MSE        =    1.9735

-----------------------------------------------------------------------------------------------
                      Turnout | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
------------------------------+----------------------------------------------------------------
              placebo_in_2015 |   .3986163   .2044457     1.95   0.052    -.0030229    .8002555
                 Turnout_2010 |   .1848914   .2873416     0.64   0.520    -.3795991    .7493819
                              |
c.Turnout_2010#c.Turnout_2010 |   .0038124   .0022458     1.70   0.090    -.0005996    .0082243
                              |
               Registered_log |  -2.856866   1.012465    -2.82   0.005    -4.845881   -.8678506
                              |
                       c_type |
                      County  |   .7725328   .2299441     3.36   0.001     .3208013    1.224264
                   difference |  -.0144408   .0066396    -2.17   0.030    -.0274845   -.0013972
                          CON |   .0020037   .0205052     0.10   0.922    -.0382793    .0422868
                          LAB |   -.044948   .0205049    -2.19   0.029    -.0852304   -.0046656
                           LD |  -.0115862   .0232843    -0.50   0.619    -.0573289    .0341564
                         UKIP |  -.0645037   .0388063    -1.66   0.097    -.1407397    .0117322
             Brexit_Leave_Han |  -.0743927   .0166794    -4.46   0.000    -.1071598   -.0416256
                        _cons |   75.72188   14.16677     5.35   0.000     47.89088    103.5529
-----------------------------------------------------------------------------------------------

. estadd local controls "Yes"

added macro:
           e(controls) : "Yes"

. estadd local LDV "Yes"

added macro:
                e(LDV) : "Yes"

. 
. esttab M1 M2 M3 M4 M5 M6 M7 M8 M9 M10 using Table_2.tex, one incelldelimite("\:") stats(LDV controls N r2, labels("LDV" "Conrol
> s" "N" "R2") layout("\multicolumn{1}{c}{@}" "\multicolumn{1}{c}{@}" "\multicolumn{1}{c}{$@$}" "\multicolumn{1}{c}{$@$}") fmt(0 
> 0 0 2))  replace b(2) se(2) wide staraux ///
>                 star( * 0.05 ** 0.01 *** 0.001) eqlabels(none) nobase order(D.local_el local_el D.coverage coverage placebo_in_
> 2015 ) ///
>                 keep(D.local_el D.coverage local_el  coverage placebo_in_2015  _cons) ///
>                 varlabels(D.local_el "England-Treatment (FD)" local_el "England-Treatment" /// 
>                 D.coverage  "Coverage: England Treatment (FD)" coverage  "Coverage: England-Treatment"  placebo_in_2015 "Englan
> d-Treatment" /// 
>                  _cons "Constant") nolegend note("") /// 
>                 refcat(D.local_el "\textit{Treatment}" D.coverage "\textit{Treatment: coverage}" placebo_in_2015 "\textit{Place
> bo}", nolabel) /// nonumbers
>                 mgroups("Test: Turnout in 2017" "Placebo: Turnout in 2015", pattern(1 0 0 0 0 0 0 0 1 0) prefix(\multicolumn{@s
> pan}{c}{) suffix(}) span erepeat(\cmidrule(lr){@span})) mtitles("FD Model" "FD Model" "FD Model"  "FD Model"  "LDV" "LDV" "LDV"
>  "LDV" "LDV" "LDV" )  alignment(d{10})
(output written to Table_2.tex)

. 
. 
. **************** 
. *** Table A9 *** 
. ****************                
.                 
. esttab M1 M2 M3 M4 M5 M6 M7 M8 M9 M10 using A_Table_9.tex, one incelldelimite("\:") stats(LDV N r2, labels("LDV"  "N" "R2") lay
> out("\multicolumn{1}{c}{@}" "\multicolumn{1}{c}{$@$}" "\multicolumn{1}{c}{$@$}") fmt(0 0 2))  replace b(2) se(2) wide staraux /
> //
>                 star( * 0.05 ** 0.01 *** 0.001) eqlabels(none) nobase order(D.local_el local_el D.coverage coverage placebo_in_
> 2015 D.Registered_log D.difference  D.CON D.LAB D.LD D.UKIP Brexit_Leave_Han  Registered_log difference  CON LAB LD UKIP Brexit
> _Leave_Han Turnout_2015    c.Turnout_2015#c.Turnout_2015 Turnout_2010 c.Turnout_2010#c.Turnout_2010 2.c_type  _cons ) ///
>                 keep(D.local_el D.coverage local_el  coverage placebo_in_2015 D.Registered_log D.difference  D.CON D.LAB D.LD D
> .UKIP Brexit_Leave_Han  Registered_log 2.c_type difference  CON LAB LD UKIP Brexit_Leave_Han Turnout_2015 c.Turnout_2015#c.Turn
> out_2015 Turnout_2010 c.Turnout_2010#c.Turnout_2010  _cons) ///
>                 varlabels(D.local_el "England-Treatment (FD)" local_el "England-Treatment" /// 
>                 D.coverage  "Coverage: England-Treatment (FD)" coverage  "Coverage: England-Treatment"  placebo_in_2015 "Englan
> d-Treatment" ///
>                 D.Registered_log "FD_Registered voters (ln)" D.difference "FD_Margin of victory" D.CON "FD_Share: Conservatives
> " /// 
>                 D.LAB "FD_Share: Labour" D.LD "FD_Share: LibDem" D.UKIP "FD_Share: UKIP" Brexit_Leave_Han "Share: Brexit" /// 
>                 Registered_log "Registered voters (ln)"  2.c_type "County constituency" difference "Margin of victory" ///
>                 CON "Share: Conservatives" LAB "Share: Labour" LD "Share: LibDem" UKIP "Share: UKIP" Brexit_Leave_Han /// 
>                 "Share: Brexit" Turnout_2015 "Turnout in 2015" c.Turnout_2015#c.Turnout_2015 "Turnout in 2015^2" ///
>                 Turnout_2010 "Turnout in 2010" c.Turnout_2010#c.Turnout_2010 "Turnout in 2010^2"  _cons "Constant", ///
>                 elist(placebo_in_2015 \hline )) nolegend note("") /// 
>                 refcat(D.local_el "\textit{Treatment}" D.coverage "\textit{Treatment: coverage}" ///
>                 placebo_in_2015 "\textit{Placebo}" D.Registered_log "\textit{Controls}", nolabel) /// nonumbers
>                 mgroups("Test: Turnout in 2017" "Placebo: Turnout in 2015", pattern(1 0 0 0 0 0 0 0 1 0) prefix(\multicolumn{@s
> pan}{c}{) suffix(}) span erepeat(\cmidrule(lr){@span})) mtitles("FD Model" "FD Model" "FD Model"  "FD Model"  "LDV" "LDV" "LDV"
>  "LDV" "LDV" "LDV" )  alignment(d{10})
(output written to A_Table_9.tex)

.                 
.          
.                 
. ******************************
. *** Descriptive Statistics *** 
. ******************************          
.                 
. *Descriptive statistics (Table)
. recode c_type (1=0) (2=1), gen(county)
(2132 differences between c_type and county)

. lab var county "County constituency"

. lab var BREXITLeave "Brexit" 

. lab var difference "Margin of victory"

. lab var coverage "Coverage: England-Treatment" 

. lab var CON "Share: Conservatives" 

. lab var LAB "Share: Labour" 

. lab var LD "Share: LibDem" 

. lab var UKIP "Share: UKIP" 

. lab var Brexit_Leave_Han "Share: Brexit" 

. 
. * All England
. quietly estpost sum local_el coverage  Turnout_2015 Registered_log county difference CON LAB LD UKIP BREXITLeave if Year==2017

. eststo M1

. 
. *England: Treatment 
. quietly estpost sum local_el coverage  Turnout_2015 Registered_log county difference CON LAB LD UKIP BREXITLeave if Year==2017 
> & local_el==1

. eststo M2

. 
. *England: Control
. quietly estpost sum local_el coverage  Turnout_2015 Registered_log county difference CON LAB LD UKIP BREXITLeave if Year==2017 
> & local_el==0

. eststo M3

. 
. **************** 
. *** Table A7 *** 
. ****************
. 
. esttab M1 M2 M3 using A_Table_7.tex, replace cells("count(fmt(%9.0f)) mean(fmt(%9.2f)) sd(fmt(%9.2f)) min(fmt(%9.2f)) max(fmt(%
> 9.2f))" ) label varwidth(30) noobs ///
> collabels("N" "Mean" "SD" "Min" "Max") nodep nonumb  modelwidth(6) mtitles("All Constituencies" "England-Treatment" "England-Co
> ntrol")
(output written to A_Table_7.tex)

. 
end of do-file

. do "C:\Users\fkostelk\Dropbox\Replication_EF\Code\2b_1.do" 

. *********************************************************************************
. *                                                                               *
. *                          Replication Garmann 2017                                             *
. *                                                                               *
. *                           Preparing the Dataset                                   *
. *                                                                               *
. *********************************************************************************
. 
. global beg_path `"C:\Users\fkostelk\Dropbox\Replication_EF"'  // F - EUI

.  
. ssc install matchit, replace // installing command matchit 
checking matchit consistency and verifying not already installed...
all files already exist and are up to date.

. ssc install freqindex, replace //  installing command freqindex
checking freqindex consistency and verifying not already installed...
all files already exist and are up to date.

. 
. 
. *Importing data from the communes (official data received from Hesse Statistics) 
. 
. cd `"${beg_path}\Data\Analysis 2B\"'
C:\Users\fkostelk\Dropbox\Replication_EF\Data\Analysis 2B

. 
. import excel  using `"New data on Hesse\Übersicht_BM_2020.xlsx"', sheet(Bürgermeisterwahlen) first clear
(61 vars, 2,421 obs)

. 
. keep NR NAME STICHWAHL WAHLTAG WAHLBETEILIGUNG WAHLBERECHTIGTE WAEHLER UNG I

. sort NAME

. egen gem_grouped = group(NAME)

. gen id = . 
(2,421 missing values generated)

. replace id = gem_grouped if gem_grouped <309 
(1,747 real changes made)

. replace id = gem_grouped-1 if gem_grouped >309 
(672 real changes made)

. replace id = 427 if id == . 
(2 real changes made)

. 
. *Merging with communes ids and kreis extracted from Garmann's data (to get information on kreis, not available in the data from
>  Hesse Statistics) 
. 
. merge m:1 id using `"New data on Hesse\Geminde_kreis.dta"'

    Result                      Number of obs
    -----------------------------------------
    Not matched                             2
        from master                         2  (_merge==1)
        from using                          0  (_merge==2)

    Matched                             2,419  (_merge==3)
    -----------------------------------------

. matchit gemeindename NAME 
Matching columns gemeindename and NAME
Similarity function: bigram
0%
20%
40%
60%
80%
Done!

. list gemeindename NAME  if similscore < .5 // looks ok

      +---------------------------------------------------------+
      |  gemeindename                                      NAME |
      |---------------------------------------------------------|
 394. | Butzbach, St.   Butzbach, Friedrich-Ludwig-Weidig-Stadt |
 395. | Butzbach, St.   Butzbach, Friedrich-Ludwig-Weidig-Stadt |
 396. | Butzbach, St.   Butzbach, Friedrich-Ludwig-Weidig-Stadt |
 397. | Butzbach, St.   Butzbach, Friedrich-Ludwig-Weidig-Stadt |
 398. | Butzbach, St.   Butzbach, Friedrich-Ludwig-Weidig-Stadt |
      |---------------------------------------------------------|
 399. | Butzbach, St.   Butzbach, Friedrich-Ludwig-Weidig-Stadt |
 400. | Butzbach, St.   Butzbach, Friedrich-Ludwig-Weidig-Stadt |
 432. |         C�lbe                                     Cölbe |
 433. |         C�lbe                                     Cölbe |
 434. |         C�lbe                                     Cölbe |
      |---------------------------------------------------------|
 435. |         C�lbe                                     Cölbe |
 436. |         C�lbe                                     Cölbe |
 737. | Fritzlar, St.           Fritzlar, Dom- und Kaiserstadt  |
 738. | Fritzlar, St.           Fritzlar, Dom- und Kaiserstadt  |
 739. | Fritzlar, St.           Fritzlar, Dom- und Kaiserstadt  |
      |---------------------------------------------------------|
 740. | Fritzlar, St.           Fritzlar, Dom- und Kaiserstadt  |
 741. | Fritzlar, St.           Fritzlar, Dom- und Kaiserstadt  |
 742. | Fritzlar, St.           Fritzlar, Dom- und Kaiserstadt  |
 771. |         F�rth                                     Fürth |
 772. |         F�rth                                     Fürth |
      |---------------------------------------------------------|
 773. |         F�rth                                     Fürth |
 774. |         F�rth                                     Fürth |
 987. |    Hanau, St.                 Hanau, Brüder-Grimm-Stadt |
 988. |    Hanau, St.                 Hanau, Brüder-Grimm-Stadt |
 989. |    Hanau, St.                 Hanau, Brüder-Grimm-Stadt |
      |---------------------------------------------------------|
 990. |    Hanau, St.                 Hanau, Brüder-Grimm-Stadt |
 991. |    Hanau, St.                 Hanau, Brüder-Grimm-Stadt |
 992. |    Hanau, St.                 Hanau, Brüder-Grimm-Stadt |
1174. |  H�nfeld, St.                Hünfeld, Konrad-Zuse-Stadt |
1175. |  H�nfeld, St.                Hünfeld, Konrad-Zuse-Stadt |
      |---------------------------------------------------------|
1176. |  H�nfeld, St.                Hünfeld, Konrad-Zuse-Stadt |
1177. |  H�nfeld, St.                Hünfeld, Konrad-Zuse-Stadt |
1178. |  H�nfeld, St.                Hünfeld, Konrad-Zuse-Stadt |
1303. |         K�rle                                     Körle |
1304. |         K�rle                                     Körle |
      |---------------------------------------------------------|
1305. |         K�rle                                     Körle |
1306. |         K�rle                                     Körle |
1307. |         K�rle                                     Körle |
1561. |         M�cke                                     Mücke |
1562. |         M�cke                                     Mücke |
      |---------------------------------------------------------|
1563. |         M�cke                                     Mücke |
1564. |         M�cke                                     Mücke |
1565. |         M�cke                                     Mücke |
1583. |       M�nster                          Münster (Hessen) |
1584. |       M�nster                          Münster (Hessen) |
      |---------------------------------------------------------|
1585. |       M�nster                          Münster (Hessen) |
1586. |       M�nster                          Münster (Hessen) |
1587. |       M�nster                          Münster (Hessen) |
1814. |       Rasdorf             Rasdorf, Point-Alpha-Gemeinde |
1815. |       Rasdorf             Rasdorf, Point-Alpha-Gemeinde |
      |---------------------------------------------------------|
1816. |       Rasdorf             Rasdorf, Point-Alpha-Gemeinde |
1817. |       Rasdorf             Rasdorf, Point-Alpha-Gemeinde |
1818. |       Rasdorf             Rasdorf, Point-Alpha-Gemeinde |
2218. |          V�hl                                      Vöhl |
2219. |          V�hl                                      Vöhl |
      |---------------------------------------------------------|
2220. |          V�hl                                      Vöhl |
2221. |          V�hl                                      Vöhl |
2222. |          V�hl                                      Vöhl |
2420. |                                         Oberzent, Stadt |
2421. |                                         Oberzent, Stadt |
      +---------------------------------------------------------+

. list gemeindename NAME  if similscore < .9  & similscore > .5  // looks ok

      +--------------------------------------------------------------------------------+
      |                   gemeindename                                            NAME |
      |--------------------------------------------------------------------------------|
  34. |               Alsbach-H�hnlein                                Alsbach-Hähnlein |
  35. |               Alsbach-H�hnlein                                Alsbach-Hähnlein |
  36. |               Alsbach-H�hnlein                                Alsbach-Hähnlein |
  37. |               Alsbach-H�hnlein                                Alsbach-Hähnlein |
  38. |               Alsbach-H�hnlein                                Alsbach-Hähnlein |
      |--------------------------------------------------------------------------------|
  39. |               Alsbach-H�hnlein                                Alsbach-Hähnlein |
  40. |               Alsbach-H�hnlein                                Alsbach-Hähnlein |
  41. |               Alsbach-H�hnlein                                Alsbach-Hähnlein |
  42. |                   Alsfeld, St.                                  Alsfeld, Stadt |
  43. |                   Alsfeld, St.                                  Alsfeld, Stadt |
      |--------------------------------------------------------------------------------|
  44. |                   Alsfeld, St.                                  Alsfeld, Stadt |
  45. |                   Alsfeld, St.                                  Alsfeld, Stadt |
  46. |                   Alsfeld, St.                                  Alsfeld, Stadt |
  47. |                   Alsfeld, St.                                  Alsfeld, Stadt |
  48. |                   Alsfeld, St.                                  Alsfeld, Stadt |
      |--------------------------------------------------------------------------------|
  54. |                 Am�neburg, St.                                Amöneburg, Stadt |
  55. |                 Am�neburg, St.                                Amöneburg, Stadt |
  56. |                 Am�neburg, St.                                Amöneburg, Stadt |
  57. |                 Am�neburg, St.                                Amöneburg, Stadt |
  58. |                 Am�neburg, St.                                Amöneburg, Stadt |
      |--------------------------------------------------------------------------------|
  59. |                 Am�neburg, St.                                Amöneburg, Stadt |
  71. |                     A�lar, St.                                    Aßlar, Stadt |
  72. |                     A�lar, St.                                    Aßlar, Stadt |
  73. |                     A�lar, St.                                    Aßlar, Stadt |
  74. |                     A�lar, St.                                    Aßlar, Stadt |
      |--------------------------------------------------------------------------------|
  75. |                     A�lar, St.                                    Aßlar, Stadt |
  76. |                     A�lar, St.                                    Aßlar, Stadt |
  77. |                     A�lar, St.                                    Aßlar, Stadt |
  78. |               Babenhausen, St.                              Babenhausen, Stadt |
  79. |               Babenhausen, St.                              Babenhausen, Stadt |
      |--------------------------------------------------------------------------------|
  80. |               Babenhausen, St.                              Babenhausen, Stadt |
  81. |               Babenhausen, St.                              Babenhausen, Stadt |
  82. |               Babenhausen, St.                              Babenhausen, Stadt |
  83. |               Babenhausen, St.                              Babenhausen, Stadt |
  84. |               Babenhausen, St.                              Babenhausen, Stadt |
      |--------------------------------------------------------------------------------|
  85. |               Bad Arolsen, St.                              Bad Arolsen, Stadt |
  86. |               Bad Arolsen, St.                              Bad Arolsen, Stadt |
  87. |               Bad Arolsen, St.                              Bad Arolsen, Stadt |
  88. |               Bad Arolsen, St.                              Bad Arolsen, Stadt |
  89. |               Bad Arolsen, St.                              Bad Arolsen, Stadt |
      |--------------------------------------------------------------------------------|
  90. |               Bad Arolsen, St.                              Bad Arolsen, Stadt |
  91. |               Bad Arolsen, St.                              Bad Arolsen, Stadt |
  92. |               Bad Camberg, St.                              Bad Camberg, Stadt |
  93. |               Bad Camberg, St.                              Bad Camberg, Stadt |
  94. |               Bad Camberg, St.                              Bad Camberg, Stadt |
      |--------------------------------------------------------------------------------|
  95. |               Bad Camberg, St.                              Bad Camberg, Stadt |
  96. |               Bad Camberg, St.                              Bad Camberg, Stadt |
  97. |               Bad Camberg, St.                              Bad Camberg, Stadt |
 118. |     Bad Homburg v.d. H�he, St.                   Bad Homburg v. d. Höhe, Stadt |
 119. |     Bad Homburg v.d. H�he, St.                   Bad Homburg v. d. Höhe, Stadt |
      |--------------------------------------------------------------------------------|
 120. |     Bad Homburg v.d. H�he, St.                   Bad Homburg v. d. Höhe, Stadt |
 121. |     Bad Homburg v.d. H�he, St.                   Bad Homburg v. d. Höhe, Stadt |
 122. |     Bad Homburg v.d. H�he, St.                   Bad Homburg v. d. Höhe, Stadt |
 123. |     Bad Homburg v.d. H�he, St.                   Bad Homburg v. d. Höhe, Stadt |
 124. |     Bad Homburg v.d. H�he, St.                   Bad Homburg v. d. Höhe, Stadt |
      |--------------------------------------------------------------------------------|
 133. |                 Bad K�nig, St.                                Bad König, Stadt |
 134. |                 Bad K�nig, St.                                Bad König, Stadt |
 135. |                 Bad K�nig, St.                                Bad König, Stadt |
 136. |                 Bad K�nig, St.                                Bad König, Stadt |
 137. |                 Bad K�nig, St.                                Bad König, Stadt |
      |--------------------------------------------------------------------------------|
 138. |                 Bad K�nig, St.                                Bad König, Stadt |
 139. |               Bad Nauheim, St.                              Bad Nauheim, Stadt |
 140. |               Bad Nauheim, St.                              Bad Nauheim, Stadt |
 141. |               Bad Nauheim, St.                              Bad Nauheim, Stadt |
 142. |               Bad Nauheim, St.                              Bad Nauheim, Stadt |
      |--------------------------------------------------------------------------------|
 143. |               Bad Nauheim, St.                              Bad Nauheim, Stadt |
 144. |               Bad Nauheim, St.                              Bad Nauheim, Stadt |
 145. |               Bad Nauheim, St.                              Bad Nauheim, Stadt |
 146. |               Bad Nauheim, St.                              Bad Nauheim, Stadt |
 147. |               Bad Nauheim, St.                              Bad Nauheim, Stadt |
      |--------------------------------------------------------------------------------|
 148. |               Bad Nauheim, St.                              Bad Nauheim, Stadt |
 149. |               Bad Nauheim, St.                              Bad Nauheim, Stadt |
 150. |                   Bad Orb, St.                                  Bad Orb, Stadt |
 151. |                   Bad Orb, St.                                  Bad Orb, Stadt |
 152. |                   Bad Orb, St.                                  Bad Orb, Stadt |
      |--------------------------------------------------------------------------------|
 153. |                   Bad Orb, St.                                  Bad Orb, Stadt |
 154. |                   Bad Orb, St.                                  Bad Orb, Stadt |
 171. |      Bad Soden-Salm�nster, St.                     Bad Soden-Salmünster, Stadt |
 172. |      Bad Soden-Salm�nster, St.                     Bad Soden-Salmünster, Stadt |
 173. |      Bad Soden-Salm�nster, St.                     Bad Soden-Salmünster, Stadt |
      |--------------------------------------------------------------------------------|
 174. |      Bad Soden-Salm�nster, St.                     Bad Soden-Salmünster, Stadt |
 175. |      Bad Soden-Salm�nster, St.                     Bad Soden-Salmünster, Stadt |
 180. |                Bad Vilbel, St.                               Bad Vilbel, Stadt |
 181. |                Bad Vilbel, St.                               Bad Vilbel, Stadt |
 182. |                Bad Vilbel, St.                               Bad Vilbel, Stadt |
      |--------------------------------------------------------------------------------|
 183. |                Bad Vilbel, St.                               Bad Vilbel, Stadt |
 184. |             Bad Wildungen, St.                            Bad Wildungen, Stadt |
 185. |             Bad Wildungen, St.                            Bad Wildungen, Stadt |
 186. |             Bad Wildungen, St.                            Bad Wildungen, Stadt |
 187. |             Bad Wildungen, St.                            Bad Wildungen, Stadt |
      |--------------------------------------------------------------------------------|
 188. |             Bad Wildungen, St.                            Bad Wildungen, Stadt |
 189. |             Bad Wildungen, St.                            Bad Wildungen, Stadt |
 190. |             Bad Wildungen, St.                            Bad Wildungen, Stadt |
 191. |             Bad Wildungen, St.                            Bad Wildungen, Stadt |
 204. |                  Baunatal, St.                                 Baunatal, Stadt |
      |--------------------------------------------------------------------------------|
 205. |                  Baunatal, St.                                 Baunatal, Stadt |
 206. |                  Baunatal, St.                                 Baunatal, Stadt |
 207. |                  Baunatal, St.                                 Baunatal, Stadt |
 208. |                  Baunatal, St.                                 Baunatal, Stadt |
 209. |                  Baunatal, St.                                 Baunatal, Stadt |
      |--------------------------------------------------------------------------------|
 210. |                     Bebra, St.                                    Bebra, Stadt |
 211. |                     Bebra, St.                                    Bebra, Stadt |
 212. |                     Bebra, St.                                    Bebra, Stadt |
 213. |                     Bebra, St.                                    Bebra, Stadt |
 214. |                     Bebra, St.                                    Bebra, Stadt |
      |--------------------------------------------------------------------------------|
 215. |                     Bebra, St.                                    Bebra, Stadt |
 216. |                Beerfelden, St.                               Beerfelden, Stadt |
 217. |                Beerfelden, St.                               Beerfelden, Stadt |
 218. |                Beerfelden, St.                               Beerfelden, Stadt |
 219. |                Beerfelden, St.                               Beerfelden, Stadt |
      |--------------------------------------------------------------------------------|
 220. |                Beerfelden, St.                               Beerfelden, Stadt |
 221. |                  Bensheim, St.                                 Bensheim, Stadt |
 222. |                  Bensheim, St.                                 Bensheim, Stadt |
 223. |                  Bensheim, St.                                 Bensheim, Stadt |
 224. |                  Bensheim, St.                                 Bensheim, Stadt |
      |--------------------------------------------------------------------------------|
 225. |                  Bensheim, St.                                 Bensheim, Stadt |
 250. |                   Biebergem�nd                                    Biebergemünd |
 251. |                   Biebergem�nd                                    Biebergemünd |
 252. |                   Biebergem�nd                                    Biebergemünd |
 253. |                   Biebergem�nd                                    Biebergemünd |
      |--------------------------------------------------------------------------------|
 254. |                   Biebergem�nd                                    Biebergemünd |
 255. |                   Biebergem�nd                                    Biebergemünd |
 271. |                Biedenkopf, St.                               Biedenkopf, Stadt |
 272. |                Biedenkopf, St.                               Biedenkopf, Stadt |
 273. |                Biedenkopf, St.                               Biedenkopf, Stadt |
      |--------------------------------------------------------------------------------|
 274. |                Biedenkopf, St.                               Biedenkopf, Stadt |
 275. |                Biedenkopf, St.                               Biedenkopf, Stadt |
 314. |                 Braunfels, St.                                Braunfels, Stadt |
 315. |                 Braunfels, St.                                Braunfels, Stadt |
 316. |                 Braunfels, St.                                Braunfels, Stadt |
      |--------------------------------------------------------------------------------|
 317. |                 Braunfels, St.                                Braunfels, Stadt |
 318. |                 Braunfels, St.                                Braunfels, Stadt |
 319. |                 Braunfels, St.                                Braunfels, Stadt |
 320. |                 Braunfels, St.                                Braunfels, Stadt |
 347. |                  Breuberg, St.                                 Breuberg, Stadt |
      |--------------------------------------------------------------------------------|
 348. |                  Breuberg, St.                                 Breuberg, Stadt |
 349. |                  Breuberg, St.                                 Breuberg, Stadt |
 350. |                  Breuberg, St.                                 Breuberg, Stadt |
 351. |                  Breuberg, St.                                 Breuberg, Stadt |
 369. |                Bruchk�bel, St.                               Bruchköbel, Stadt |
      |--------------------------------------------------------------------------------|
 370. |                Bruchk�bel, St.                               Bruchköbel, Stadt |
 371. |                Bruchk�bel, St.                               Bruchköbel, Stadt |
 372. |                Bruchk�bel, St.                               Bruchköbel, Stadt |
 373. |                Bruchk�bel, St.                               Bruchköbel, Stadt |
 374. |                Bruchk�bel, St.                               Bruchköbel, Stadt |
      |--------------------------------------------------------------------------------|
 375. |                Bruchk�bel, St.                               Bruchköbel, Stadt |
 376. |                Bruchk�bel, St.                               Bruchköbel, Stadt |
 377. |                       Burghaun                         Burghaun, Marktgemeinde |
 378. |                       Burghaun                         Burghaun, Marktgemeinde |
 379. |                       Burghaun                         Burghaun, Marktgemeinde |
      |--------------------------------------------------------------------------------|
 380. |                       Burghaun                         Burghaun, Marktgemeinde |
 381. |                       Burghaun                         Burghaun, Marktgemeinde |
 382. |                       Burghaun                         Burghaun, Marktgemeinde |
 401. |                  B�dingen, St.                                 Büdingen, Stadt |
 402. |                  B�dingen, St.                                 Büdingen, Stadt |
      |--------------------------------------------------------------------------------|
 403. |                  B�dingen, St.                                 Büdingen, Stadt |
 404. |                  B�dingen, St.                                 Büdingen, Stadt |
 405. |                  B�dingen, St.                                 Büdingen, Stadt |
 406. |                  B�dingen, St.                                 Büdingen, Stadt |
 407. |                  B�dingen, St.                                 Büdingen, Stadt |
      |--------------------------------------------------------------------------------|
 408. |                  B�dingen, St.                                 Büdingen, Stadt |
 409. |                  B�rstadt, St.                                 Bürstadt, Stadt |
 410. |                  B�rstadt, St.                                 Bürstadt, Stadt |
 411. |                  B�rstadt, St.                                 Bürstadt, Stadt |
 412. |                  B�rstadt, St.                                 Bürstadt, Stadt |
      |--------------------------------------------------------------------------------|
 413. |                  B�rstadt, St.                                 Bürstadt, Stadt |
 414. |                  B�rstadt, St.                                 Bürstadt, Stadt |
 415. |                     B�ttelborn                                      Büttelborn |
 416. |                     B�ttelborn                                      Büttelborn |
 417. |                     B�ttelborn                                      Büttelborn |
      |--------------------------------------------------------------------------------|
 418. |                     B�ttelborn                                      Büttelborn |
 419. |                     B�ttelborn                                      Büttelborn |
 420. |                     B�ttelborn                                      Büttelborn |
 452. |                   Dieburg, St.                                  Dieburg, Stadt |
 453. |                   Dieburg, St.                                  Dieburg, Stadt |
      |--------------------------------------------------------------------------------|
 454. |                   Dieburg, St.                                  Dieburg, Stadt |
 455. |                   Dieburg, St.                                  Dieburg, Stadt |
 456. |                   Dieburg, St.                                  Dieburg, Stadt |
 457. |                   Dieburg, St.                                  Dieburg, Stadt |
 469. |               Dietzenbach, St.                         Dietzenbach, Kreisstadt |
      |--------------------------------------------------------------------------------|
 470. |               Dietzenbach, St.                         Dietzenbach, Kreisstadt |
 471. |               Dietzenbach, St.                         Dietzenbach, Kreisstadt |
 472. |               Dietzenbach, St.                         Dietzenbach, Kreisstadt |
 473. |               Dietzenbach, St.                         Dietzenbach, Kreisstadt |
 474. |               Dietzenbach, St.                         Dietzenbach, Kreisstadt |
      |--------------------------------------------------------------------------------|
 475. |               Dietzenbach, St.                         Dietzenbach, Kreisstadt |
 476. |               Dietzenbach, St.                         Dietzenbach, Kreisstadt |
 477. |                   Dietzh�lztal                                    Dietzhölztal |
 478. |                   Dietzh�lztal                                    Dietzhölztal |
 479. |                   Dietzh�lztal                                    Dietzhölztal |
      |--------------------------------------------------------------------------------|
 480. |                   Dietzh�lztal                                    Dietzhölztal |
 481. |                   Dietzh�lztal                                    Dietzhölztal |
 482. |                   Dietzh�lztal                                    Dietzhölztal |
 483. |                Dillenburg, St.                        Dillenburg, Oranienstadt |
 484. |                Dillenburg, St.                        Dillenburg, Oranienstadt |
      |--------------------------------------------------------------------------------|
 485. |                Dillenburg, St.                        Dillenburg, Oranienstadt |
 486. |                Dillenburg, St.                        Dillenburg, Oranienstadt |
 487. |                Dillenburg, St.                        Dillenburg, Oranienstadt |
 498. |                  Dreieich, St.                                 Dreieich, Stadt |
 499. |                  Dreieich, St.                                 Dreieich, Stadt |
      |--------------------------------------------------------------------------------|
 500. |                  Dreieich, St.                                 Dreieich, Stadt |
 501. |                  Dreieich, St.                                 Dreieich, Stadt |
 502. |                  Dreieich, St.                                 Dreieich, Stadt |
 503. |                  Dreieich, St.                                 Dreieich, Stadt |
 523. |                      Ederm�nde                                       Edermünde |
      |--------------------------------------------------------------------------------|
 524. |                      Ederm�nde                                       Edermünde |
 525. |                      Ederm�nde                                       Edermünde |
 526. |                      Ederm�nde                                       Edermünde |
 541. |               Ehrenberg (Rh�n)                                Ehrenberg (Rhön) |
 542. |               Ehrenberg (Rh�n)                                Ehrenberg (Rhön) |
      |--------------------------------------------------------------------------------|
 543. |               Ehrenberg (Rh�n)                                Ehrenberg (Rhön) |
 544. |               Ehrenberg (Rh�n)                                Ehrenberg (Rhön) |
 545. |               Ehrenberg (Rh�n)                                Ehrenberg (Rhön) |
 564. |                      Eiterfeld                        Eiterfeld, Marktgemeinde |
 565. |                      Eiterfeld                        Eiterfeld, Marktgemeinde |
      |--------------------------------------------------------------------------------|
 566. |                      Eiterfeld                        Eiterfeld, Marktgemeinde |
 567. |                      Eiterfeld                        Eiterfeld, Marktgemeinde |
 568. |                      Eiterfeld                        Eiterfeld, Marktgemeinde |
 589. |                  Eppstein, St.                                 Eppstein, Stadt |
 590. |                  Eppstein, St.                                 Eppstein, Stadt |
      |--------------------------------------------------------------------------------|
 591. |                  Eppstein, St.                                 Eppstein, Stadt |
 592. |                  Eppstein, St.                                 Eppstein, Stadt |
 593. |                  Eppstein, St.                                 Eppstein, Stadt |
 594. |                  Eppstein, St.                                 Eppstein, Stadt |
 602. |                       Erlensee                                 Erlensee, Stadt |
      |--------------------------------------------------------------------------------|
 603. |                       Erlensee                                 Erlensee, Stadt |
 604. |                       Erlensee                                 Erlensee, Stadt |
 605. |                       Erlensee                                 Erlensee, Stadt |
 606. |                       Erlensee                                 Erlensee, Stadt |
 607. |                       Erlensee                                 Erlensee, Stadt |
      |--------------------------------------------------------------------------------|
 608. |                       Erlensee                                 Erlensee, Stadt |
 614. |                  Eschborn, St.                                 Eschborn, Stadt |
 615. |                  Eschborn, St.                                 Eschborn, Stadt |
 616. |                  Eschborn, St.                                 Eschborn, Stadt |
 617. |                  Eschborn, St.                                 Eschborn, Stadt |
      |--------------------------------------------------------------------------------|
 618. |                  Eschborn, St.                                 Eschborn, Stadt |
 619. |                  Eschborn, St.                                 Eschborn, Stadt |
 642. |                  Felsberg, St.                                 Felsberg, Stadt |
 643. |                  Felsberg, St.                                 Felsberg, Stadt |
 644. |                  Felsberg, St.                                 Felsberg, Stadt |
      |--------------------------------------------------------------------------------|
 645. |                  Felsberg, St.                                 Felsberg, Stadt |
 646. |                  Felsberg, St.                                 Felsberg, Stadt |
 647. |                  Felsberg, St.                                 Felsberg, Stadt |
 664. |                      Florstadt                                Florstadt, Stadt |
 665. |                      Florstadt                                Florstadt, Stadt |
      |--------------------------------------------------------------------------------|
 666. |                      Florstadt                                Florstadt, Stadt |
 667. |                      Florstadt                                Florstadt, Stadt |
 668. |                      Florstadt                                Florstadt, Stadt |
 669. |                   Fl�rsbachtal                                    Flörsbachtal |
 670. |                   Fl�rsbachtal                                    Flörsbachtal |
      |--------------------------------------------------------------------------------|
 671. |                   Fl�rsbachtal                                    Flörsbachtal |
 672. |                   Fl�rsbachtal                                    Flörsbachtal |
 673. |                   Fl�rsbachtal                                    Flörsbachtal |
 674. |                   Fl�rsbachtal                                    Flörsbachtal |
 675. |                   Fl�rsbachtal                                    Flörsbachtal |
      |--------------------------------------------------------------------------------|
 676. |         Fl�rsheim am Main, St.                        Flörsheim am Main, Stadt |
 677. |         Fl�rsheim am Main, St.                        Flörsheim am Main, Stadt |
 678. |         Fl�rsheim am Main, St.                        Flörsheim am Main, Stadt |
 679. |         Fl�rsheim am Main, St.                        Flörsheim am Main, Stadt |
 680. |         Fl�rsheim am Main, St.                        Flörsheim am Main, Stadt |
      |--------------------------------------------------------------------------------|
 681. |         Fl�rsheim am Main, St.                        Flörsheim am Main, Stadt |
 682. |         Fl�rsheim am Main, St.                        Flörsheim am Main, Stadt |
 683. |                 Frankenau, St.                                Frankenau, Stadt |
 684. |                 Frankenau, St.                                Frankenau, Stadt |
 685. |                 Frankenau, St.                                Frankenau, Stadt |
      |--------------------------------------------------------------------------------|
 686. |                 Frankenau, St.                                Frankenau, Stadt |
 687. |                 Frankenau, St.                                Frankenau, Stadt |
 749. |             Fr�nkisch-Crumbach                              Fränkisch-Crumbach |
 750. |             Fr�nkisch-Crumbach                              Fränkisch-Crumbach |
 751. |             Fr�nkisch-Crumbach                              Fränkisch-Crumbach |
      |--------------------------------------------------------------------------------|
 752. |             Fr�nkisch-Crumbach                              Fränkisch-Crumbach |
 753. |             Fr�nkisch-Crumbach                              Fränkisch-Crumbach |
 754. |             Fr�nkisch-Crumbach                              Fränkisch-Crumbach |
 755. |             Fr�nkisch-Crumbach                              Fränkisch-Crumbach |
 756. |                     Fulda, St.                                    Fulda, Stadt |
      |--------------------------------------------------------------------------------|
 757. |                     Fulda, St.                                    Fulda, Stadt |
 758. |                     Fulda, St.                                    Fulda, Stadt |
 759. |                     Fulda, St.                                    Fulda, Stadt |
 760. |                     Fulda, St.                                    Fulda, Stadt |
 761. |                     Fuldabr�ck                                      Fuldabrück |
      |--------------------------------------------------------------------------------|
 762. |                     Fuldabr�ck                                      Fuldabrück |
 763. |                     Fuldabr�ck                                      Fuldabrück |
 764. |                     Fuldabr�ck                                      Fuldabrück |
 765. |                     Fuldabr�ck                                      Fuldabrück |
 775. |                    Gedern, St.                                   Gedern, Stadt |
      |--------------------------------------------------------------------------------|
 776. |                    Gedern, St.                                   Gedern, Stadt |
 777. |                    Gedern, St.                                   Gedern, Stadt |
 778. |                    Gedern, St.                                   Gedern, Stadt |
 779. |                    Gedern, St.                                   Gedern, Stadt |
 780. |                    Gedern, St.                                   Gedern, Stadt |
      |--------------------------------------------------------------------------------|
 781. |                Geisenheim, St.                      Geisenheim, Hochschulstadt |
 782. |                Geisenheim, St.                      Geisenheim, Hochschulstadt |
 783. |                Geisenheim, St.                      Geisenheim, Hochschulstadt |
 784. |                Geisenheim, St.                      Geisenheim, Hochschulstadt |
 785. |                Geisenheim, St.                      Geisenheim, Hochschulstadt |
      |--------------------------------------------------------------------------------|
 786. |                Geisenheim, St.                      Geisenheim, Hochschulstadt |
 787. |    Gelnhausen, Barbarossastadt         Gelnhausen, Barbarossastadt, Kreisstadt |
 788. |    Gelnhausen, Barbarossastadt         Gelnhausen, Barbarossastadt, Kreisstadt |
 789. |    Gelnhausen, Barbarossastadt         Gelnhausen, Barbarossastadt, Kreisstadt |
 790. |    Gelnhausen, Barbarossastadt         Gelnhausen, Barbarossastadt, Kreisstadt |
      |--------------------------------------------------------------------------------|
 791. |    Gelnhausen, Barbarossastadt         Gelnhausen, Barbarossastadt, Kreisstadt |
 792. |    Gelnhausen, Barbarossastadt         Gelnhausen, Barbarossastadt, Kreisstadt |
 793. |    Gelnhausen, Barbarossastadt         Gelnhausen, Barbarossastadt, Kreisstadt |
 794. |               Gem�nden (Felda)                                Gemünden (Felda) |
 795. |               Gem�nden (Felda)                                Gemünden (Felda) |
      |--------------------------------------------------------------------------------|
 796. |               Gem�nden (Felda)                                Gemünden (Felda) |
 797. |               Gem�nden (Felda)                                Gemünden (Felda) |
 798. |               Gem�nden (Felda)                                Gemünden (Felda) |
 799. |               Gem�nden (Felda)                                Gemünden (Felda) |
 800. |          Gem�nden (Wohra), St.                         Gemünden (Wohra), Stadt |
      |--------------------------------------------------------------------------------|
 801. |          Gem�nden (Wohra), St.                         Gemünden (Wohra), Stadt |
 802. |          Gem�nden (Wohra), St.                         Gemünden (Wohra), Stadt |
 803. |          Gem�nden (Wohra), St.                         Gemünden (Wohra), Stadt |
 804. |          Gem�nden (Wohra), St.                         Gemünden (Wohra), Stadt |
 805. |          Gem�nden (Wohra), St.                         Gemünden (Wohra), Stadt |
      |--------------------------------------------------------------------------------|
 806. |          Gem�nden (Wohra), St.                         Gemünden (Wohra), Stadt |
 807. |                 Gernsheim, St.                        Gernsheim, Schöfferstadt |
 808. |                 Gernsheim, St.                        Gernsheim, Schöfferstadt |
 809. |                 Gernsheim, St.                        Gernsheim, Schöfferstadt |
 810. |                 Gernsheim, St.                        Gernsheim, Schöfferstadt |
      |--------------------------------------------------------------------------------|
 811. |                 Gernsheim, St.                        Gernsheim, Schöfferstadt |
 812. |                 Gernsheim, St.                        Gernsheim, Schöfferstadt |
 813. |           Gersfeld (Rh�n), St.                          Gersfeld (Rhön), Stadt |
 814. |           Gersfeld (Rh�n), St.                          Gersfeld (Rhön), Stadt |
 815. |           Gersfeld (Rh�n), St.                          Gersfeld (Rhön), Stadt |
      |--------------------------------------------------------------------------------|
 816. |           Gersfeld (Rh�n), St.                          Gersfeld (Rhön), Stadt |
 817. |           Gersfeld (Rh�n), St.                          Gersfeld (Rhön), Stadt |
 818. |           Gersfeld (Rh�n), St.                          Gersfeld (Rhön), Stadt |
 819. |      Gie�en, Universit�tsstadt                       Gießen, Universitätsstadt |
 820. |      Gie�en, Universit�tsstadt                       Gießen, Universitätsstadt |
      |--------------------------------------------------------------------------------|
 821. |      Gie�en, Universit�tsstadt                       Gießen, Universitätsstadt |
 822. |      Gie�en, Universit�tsstadt                       Gießen, Universitätsstadt |
 823. |      Gie�en, Universit�tsstadt                       Gießen, Universitätsstadt |
 829. |           Ginsheim-Gustavsburg                     Ginsheim-Gustavsburg, Stadt |
 830. |           Ginsheim-Gustavsburg                     Ginsheim-Gustavsburg, Stadt |
      |--------------------------------------------------------------------------------|
 831. |           Ginsheim-Gustavsburg                     Ginsheim-Gustavsburg, Stadt |
 832. |           Ginsheim-Gustavsburg                     Ginsheim-Gustavsburg, Stadt |
 833. |           Ginsheim-Gustavsburg                     Ginsheim-Gustavsburg, Stadt |
 834. |                Gladenbach, St.                               Gladenbach, Stadt |
 835. |                Gladenbach, St.                               Gladenbach, Stadt |
      |--------------------------------------------------------------------------------|
 836. |                Gladenbach, St.                               Gladenbach, Stadt |
 837. |                Gladenbach, St.                               Gladenbach, Stadt |
 838. |                     Glash�tten                                      Glashütten |
 839. |                     Glash�tten                                      Glashütten |
 840. |                     Glash�tten                                      Glashütten |
      |--------------------------------------------------------------------------------|
 841. |                     Glash�tten                                      Glashütten |
 842. |                     Glash�tten                                      Glashütten |
 857. |                  Grebenau, St.                                 Grebenau, Stadt |
 858. |                  Grebenau, St.                                 Grebenau, Stadt |
 859. |                  Grebenau, St.                                 Grebenau, Stadt |
      |--------------------------------------------------------------------------------|
 860. |                  Grebenau, St.                                 Grebenau, Stadt |
 861. |                  Grebenau, St.                                 Grebenau, Stadt |
 862. |                  Grebenau, St.                                 Grebenau, Stadt |
 868. |               Grebenstein, St.                              Grebenstein, Stadt |
 869. |               Grebenstein, St.                              Grebenstein, Stadt |
      |--------------------------------------------------------------------------------|
 870. |               Grebenstein, St.                              Grebenstein, Stadt |
 871. |               Grebenstein, St.                              Grebenstein, Stadt |
 879. |                 Griesheim, St.                                Griesheim, Stadt |
 880. |                 Griesheim, St.                                Griesheim, Stadt |
 881. |                 Griesheim, St.                                Griesheim, Stadt |
      |--------------------------------------------------------------------------------|
 882. |                 Griesheim, St.                                Griesheim, Stadt |
 883. |                 Griesheim, St.                                Griesheim, Stadt |
 884. |             Gro�-Bieberau, St.                            Groß-Bieberau, Stadt |
 885. |             Gro�-Bieberau, St.                            Groß-Bieberau, Stadt |
 886. |             Gro�-Bieberau, St.                            Groß-Bieberau, Stadt |
      |--------------------------------------------------------------------------------|
 887. |             Gro�-Bieberau, St.                            Groß-Bieberau, Stadt |
 888. |             Gro�-Bieberau, St.                            Groß-Bieberau, Stadt |
 889. |                Gro�-Gerau, St.                               Groß-Gerau, Stadt |
 890. |                Gro�-Gerau, St.                               Groß-Gerau, Stadt |
 891. |                Gro�-Gerau, St.                               Groß-Gerau, Stadt |
      |--------------------------------------------------------------------------------|
 892. |                Gro�-Gerau, St.                               Groß-Gerau, Stadt |
 893. |                Gro�-Gerau, St.                               Groß-Gerau, Stadt |
 894. |                Gro�-Gerau, St.                               Groß-Gerau, Stadt |
 895. |                Gro�-Gerau, St.                               Groß-Gerau, Stadt |
 896. |                Gro�-Gerau, St.                               Groß-Gerau, Stadt |
      |--------------------------------------------------------------------------------|
 897. |                  Gro�-Rohrheim                                   Groß-Rohrheim |
 898. |                  Gro�-Rohrheim                                   Groß-Rohrheim |
 899. |                  Gro�-Rohrheim                                   Groß-Rohrheim |
 900. |                  Gro�-Rohrheim                                   Groß-Rohrheim |
 901. |                  Gro�-Rohrheim                                   Groß-Rohrheim |
      |--------------------------------------------------------------------------------|
 902. |              Gro�-Umstadt, St.                             Groß-Umstadt, Stadt |
 903. |              Gro�-Umstadt, St.                             Groß-Umstadt, Stadt |
 904. |              Gro�-Umstadt, St.                             Groß-Umstadt, Stadt |
 905. |              Gro�-Umstadt, St.                             Groß-Umstadt, Stadt |
 906. |              Gro�-Umstadt, St.                             Groß-Umstadt, Stadt |
      |--------------------------------------------------------------------------------|
 907. |              Gro�-Umstadt, St.                             Groß-Umstadt, Stadt |
 908. |                   Gro�-Zimmern                                    Groß-Zimmern |
 909. |                   Gro�-Zimmern                                    Groß-Zimmern |
 910. |                   Gro�-Zimmern                                    Groß-Zimmern |
 911. |                   Gro�-Zimmern                                    Groß-Zimmern |
      |--------------------------------------------------------------------------------|
 912. |                   Gro�-Zimmern                                    Groß-Zimmern |
 913. |                   Gro�-Zimmern                                    Groß-Zimmern |
 914. |              Gro�almerode, St.                             Großalmerode, Stadt |
 915. |              Gro�almerode, St.                             Großalmerode, Stadt |
 916. |              Gro�almerode, St.                             Großalmerode, Stadt |
      |--------------------------------------------------------------------------------|
 917. |              Gro�almerode, St.                             Großalmerode, Stadt |
 918. |              Gro�almerode, St.                             Großalmerode, Stadt |
 919. |                    Gro�enl�der                                     Großenlüder |
 920. |                    Gro�enl�der                                     Großenlüder |
 921. |                    Gro�enl�der                                     Großenlüder |
      |--------------------------------------------------------------------------------|
 922. |                    Gro�enl�der                                     Großenlüder |
 923. |                    Gro�enl�der                                     Großenlüder |
 924. |                Gro�krotzenburg                                 Großkrotzenburg |
 925. |                Gro�krotzenburg                                 Großkrotzenburg |
 926. |                Gro�krotzenburg                                 Großkrotzenburg |
      |--------------------------------------------------------------------------------|
 927. |                Gro�krotzenburg                                 Großkrotzenburg |
 928. |                Gro�krotzenburg                                 Großkrotzenburg |
 929. |                Gro�krotzenburg                                 Großkrotzenburg |
 930. |                Gro�krotzenburg                                 Großkrotzenburg |
 931. |                 Gr�venwiesbach                                  Grävenwiesbach |
      |--------------------------------------------------------------------------------|
 932. |                 Gr�venwiesbach                                  Grävenwiesbach |
 933. |                 Gr�venwiesbach                                  Grävenwiesbach |
 934. |                 Gr�venwiesbach                                  Grävenwiesbach |
 935. |                 Gr�venwiesbach                                  Grävenwiesbach |
 936. |                 Gr�venwiesbach                                  Grävenwiesbach |
      |--------------------------------------------------------------------------------|
 937. |                  Gr�nberg, St.                                 Grünberg, Stadt |
 938. |                  Gr�nberg, St.                                 Grünberg, Stadt |
 939. |                  Gr�nberg, St.                                 Grünberg, Stadt |
 940. |                  Gr�nberg, St.                                 Grünberg, Stadt |
 941. |                  Gr�nberg, St.                                 Grünberg, Stadt |
      |--------------------------------------------------------------------------------|
 942. |                        Gr�ndau                                         Gründau |
 943. |                        Gr�ndau                                         Gründau |
 944. |                        Gr�ndau                                         Gründau |
 945. |                        Gr�ndau                                         Gründau |
 946. |                        Gr�ndau                                         Gründau |
      |--------------------------------------------------------------------------------|
 947. |                Gudensberg, St.                               Gudensberg, Stadt |
 948. |                Gudensberg, St.                               Gudensberg, Stadt |
 949. |                Gudensberg, St.                               Gudensberg, Stadt |
 950. |                Gudensberg, St.                               Gudensberg, Stadt |
 951. |                Gudensberg, St.                               Gudensberg, Stadt |
      |--------------------------------------------------------------------------------|
 961. |                   Hadamar, St.                                  Hadamar, Stadt |
 962. |                   Hadamar, St.                                  Hadamar, Stadt |
 963. |                   Hadamar, St.                                  Hadamar, Stadt |
 964. |                   Hadamar, St.                                  Hadamar, Stadt |
 965. |                    Haiger, St.                                   Haiger, Stadt |
      |--------------------------------------------------------------------------------|
 966. |                    Haiger, St.                                   Haiger, Stadt |
 967. |                    Haiger, St.                                   Haiger, Stadt |
 968. |                    Haiger, St.                                   Haiger, Stadt |
 969. |                    Haiger, St.                                   Haiger, Stadt |
 970. |                    Haiger, St.                                   Haiger, Stadt |
      |--------------------------------------------------------------------------------|
 971. |                    Haiger, St.                                   Haiger, Stadt |
1034. | Heppenheim (Bergstra�e), Krst.             Heppenheim (Bergstraße), Kreisstadt |
1035. | Heppenheim (Bergstra�e), Krst.             Heppenheim (Bergstraße), Kreisstadt |
1036. | Heppenheim (Bergstra�e), Krst.             Heppenheim (Bergstraße), Kreisstadt |
1037. | Heppenheim (Bergstra�e), Krst.             Heppenheim (Bergstraße), Kreisstadt |
      |--------------------------------------------------------------------------------|
1038. | Heppenheim (Bergstra�e), Krst.             Heppenheim (Bergstraße), Kreisstadt |
1039. | Heppenheim (Bergstra�e), Krst.             Heppenheim (Bergstraße), Kreisstadt |
1040. | Heppenheim (Bergstra�e), Krst.             Heppenheim (Bergstraße), Kreisstadt |
1041. |                   Herborn, St.                                  Herborn, Stadt |
1042. |                   Herborn, St.                                  Herborn, Stadt |
      |--------------------------------------------------------------------------------|
1043. |                   Herborn, St.                                  Herborn, Stadt |
1044. |                   Herborn, St.                                  Herborn, Stadt |
1045. |                   Herborn, St.                                  Herborn, Stadt |
1046. |                   Herborn, St.                                  Herborn, Stadt |
1047. |                   Herborn, St.                                  Herborn, Stadt |
      |--------------------------------------------------------------------------------|
1048. |                 Herbstein, St.                                Herbstein, Stadt |
1049. |                 Herbstein, St.                                Herbstein, Stadt |
1050. |                 Herbstein, St.                                Herbstein, Stadt |
1051. |                 Herbstein, St.                                Herbstein, Stadt |
1052. |                 Herbstein, St.                                Herbstein, Stadt |
      |--------------------------------------------------------------------------------|
1053. |                 Herbstein, St.                                Herbstein, Stadt |
1080. |               Heusenstamm, St.                              Heusenstamm, Stadt |
1081. |               Heusenstamm, St.                              Heusenstamm, Stadt |
1082. |               Heusenstamm, St.                              Heusenstamm, Stadt |
1083. |               Heusenstamm, St.                              Heusenstamm, Stadt |
      |--------------------------------------------------------------------------------|
1084. |               Heusenstamm, St.                              Heusenstamm, Stadt |
1085. |                        Hilders                          Hilders, Marktgemeinde |
1086. |                        Hilders                          Hilders, Marktgemeinde |
1087. |                        Hilders                          Hilders, Marktgemeinde |
1088. |                        Hilders                          Hilders, Marktgemeinde |
      |--------------------------------------------------------------------------------|
1114. |                Hofgeismar, St.                               Hofgeismar, Stadt |
1115. |                Hofgeismar, St.                               Hofgeismar, Stadt |
1116. |                Hofgeismar, St.                               Hofgeismar, Stadt |
1117. |                Hofgeismar, St.                               Hofgeismar, Stadt |
1142. |     Homberg (Efze), Kreisstadt   Homberg (Efze), Reformationsstadt, Kreisstadt |
      |--------------------------------------------------------------------------------|
1143. |     Homberg (Efze), Kreisstadt   Homberg (Efze), Reformationsstadt, Kreisstadt |
1144. |     Homberg (Efze), Kreisstadt   Homberg (Efze), Reformationsstadt, Kreisstadt |
1145. |     Homberg (Efze), Kreisstadt   Homberg (Efze), Reformationsstadt, Kreisstadt |
1146. |     Homberg (Efze), Kreisstadt   Homberg (Efze), Reformationsstadt, Kreisstadt |
1147. |     Homberg (Efze), Kreisstadt   Homberg (Efze), Reformationsstadt, Kreisstadt |
      |--------------------------------------------------------------------------------|
1148. |     Homberg (Efze), Kreisstadt   Homberg (Efze), Reformationsstadt, Kreisstadt |
1149. |             Homberg (Ohm), St.                            Homberg (Ohm), Stadt |
1150. |             Homberg (Ohm), St.                            Homberg (Ohm), Stadt |
1151. |             Homberg (Ohm), St.                            Homberg (Ohm), Stadt |
1152. |             Homberg (Ohm), St.                            Homberg (Ohm), Stadt |
      |--------------------------------------------------------------------------------|
1153. |             Homberg (Ohm), St.                            Homberg (Ohm), Stadt |
1154. |             Homberg (Ohm), St.                            Homberg (Ohm), Stadt |
1160. |                    Hungen, St.                                   Hungen, Stadt |
1161. |                    Hungen, St.                                   Hungen, Stadt |
1162. |                    Hungen, St.                                   Hungen, Stadt |
      |--------------------------------------------------------------------------------|
1163. |                    Hungen, St.                                   Hungen, Stadt |
1164. |                    Hungen, St.                                   Hungen, Stadt |
1165. |                    Hungen, St.                                   Hungen, Stadt |
1166. |                  H�chst i.Odw.                                  Höchst i. Odw. |
1167. |                  H�chst i.Odw.                                  Höchst i. Odw. |
      |--------------------------------------------------------------------------------|
1168. |                  H�chst i.Odw.                                  Höchst i. Odw. |
1169. |                  H�chst i.Odw.                                  Höchst i. Odw. |
1170. |                  H�chst i.Odw.                                  Höchst i. Odw. |
1171. |                  H�chst i.Odw.                                  Höchst i. Odw. |
1172. |                  H�chst i.Odw.                                  Höchst i. Odw. |
      |--------------------------------------------------------------------------------|
1173. |                  H�chst i.Odw.                                  Höchst i. Odw. |
1179. |                      H�nfelden                                       Hünfelden |
1180. |                      H�nfelden                                       Hünfelden |
1181. |                      H�nfelden                                       Hünfelden |
1182. |                      H�nfelden                                       Hünfelden |
      |--------------------------------------------------------------------------------|
1183. |                      H�nfelden                                       Hünfelden |
1184. |                     H�nstetten                                      Hünstetten |
1185. |                     H�nstetten                                      Hünstetten |
1186. |                     H�nstetten                                      Hünstetten |
1187. |                     H�nstetten                                      Hünstetten |
      |--------------------------------------------------------------------------------|
1188. |                     H�nstetten                                      Hünstetten |
1189. |                     H�nstetten                                      Hünstetten |
1190. |                     H�ttenberg                                      Hüttenberg |
1191. |                     H�ttenberg                                      Hüttenberg |
1192. |                     H�ttenberg                                      Hüttenberg |
      |--------------------------------------------------------------------------------|
1193. |                     H�ttenberg                                      Hüttenberg |
1194. |                     H�ttenberg                                      Hüttenberg |
1195. |                     H�ttenberg                                      Hüttenberg |
1196. |                   Idstein, St.                         Idstein, Hochschulstadt |
1197. |                   Idstein, St.                         Idstein, Hochschulstadt |
      |--------------------------------------------------------------------------------|
1198. |                   Idstein, St.                         Idstein, Hochschulstadt |
1199. |                   Idstein, St.                         Idstein, Hochschulstadt |
1200. |                   Idstein, St.                         Idstein, Hochschulstadt |
1201. |                   Idstein, St.                         Idstein, Hochschulstadt |
1202. |               Immenhausen, St.                              Immenhausen, Stadt |
      |--------------------------------------------------------------------------------|
1203. |               Immenhausen, St.                              Immenhausen, Stadt |
1204. |               Immenhausen, St.                              Immenhausen, Stadt |
1205. |               Immenhausen, St.                              Immenhausen, Stadt |
1206. |               Immenhausen, St.                              Immenhausen, Stadt |
1225. |                    Karben, St.                                   Karben, Stadt |
      |--------------------------------------------------------------------------------|
1226. |                    Karben, St.                                   Karben, Stadt |
1227. |                    Karben, St.                                   Karben, Stadt |
1228. |                    Karben, St.                                   Karben, Stadt |
1229. |                    Kassel, St.                         Kassel, documenta-Stadt |
1230. |                    Kassel, St.                         Kassel, documenta-Stadt |
      |--------------------------------------------------------------------------------|
1231. |                    Kassel, St.                         Kassel, documenta-Stadt |
1232. |                    Kassel, St.                         Kassel, documenta-Stadt |
1233. |                    Kassel, St.                         Kassel, documenta-Stadt |
1234. |                    Kassel, St.                         Kassel, documenta-Stadt |
1253. |               Kelsterbach, St.                              Kelsterbach, Stadt |
      |--------------------------------------------------------------------------------|
1254. |               Kelsterbach, St.                              Kelsterbach, Stadt |
1255. |               Kelsterbach, St.                              Kelsterbach, Stadt |
1256. |               Kelsterbach, St.                              Kelsterbach, Stadt |
1262. |                 Kirchhain, St.                                Kirchhain, Stadt |
1263. |                 Kirchhain, St.                                Kirchhain, Stadt |
      |--------------------------------------------------------------------------------|
1264. |                 Kirchhain, St.                                Kirchhain, Stadt |
1265. |                 Kirchhain, St.                                Kirchhain, Stadt |
1271. |                   Kirtorf, St.                                  Kirtorf, Stadt |
1272. |                   Kirtorf, St.                                  Kirtorf, Stadt |
1273. |                   Kirtorf, St.                                  Kirtorf, Stadt |
      |--------------------------------------------------------------------------------|
1274. |                   Kirtorf, St.                                  Kirtorf, Stadt |
1275. |                   Kirtorf, St.                                  Kirtorf, Stadt |
1276. |                      Kn�llwald                                       Knüllwald |
1277. |                      Kn�llwald                                       Knüllwald |
1278. |                      Kn�llwald                                       Knüllwald |
      |--------------------------------------------------------------------------------|
1279. |                      Kn�llwald                                       Knüllwald |
1280. |                      Kn�llwald                                       Knüllwald |
1281. |                 Korbach, Krst.                 Korbach, Hansestadt, Kreisstadt |
1282. |                 Korbach, Krst.                 Korbach, Hansestadt, Kreisstadt |
1283. |                 Korbach, Krst.                 Korbach, Hansestadt, Kreisstadt |
      |--------------------------------------------------------------------------------|
1284. |                 Korbach, Krst.                 Korbach, Hansestadt, Kreisstadt |
1285. |                 Korbach, Krst.                 Korbach, Hansestadt, Kreisstadt |
1296. |      K�nigstein im Taunus, St.                     Königstein im Taunus, Stadt |
1297. |      K�nigstein im Taunus, St.                     Königstein im Taunus, Stadt |
1298. |      K�nigstein im Taunus, St.                     Königstein im Taunus, Stadt |
      |--------------------------------------------------------------------------------|
1299. |      K�nigstein im Taunus, St.                     Königstein im Taunus, Stadt |
1300. |      K�nigstein im Taunus, St.                     Königstein im Taunus, Stadt |
1301. |      K�nigstein im Taunus, St.                     Königstein im Taunus, Stadt |
1302. |      K�nigstein im Taunus, St.                     Königstein im Taunus, Stadt |
1308. |                        K�nzell                                         Künzell |
      |--------------------------------------------------------------------------------|
1309. |                        K�nzell                                         Künzell |
1310. |                        K�nzell                                         Künzell |
1311. |                        K�nzell                                         Künzell |
1323. |               Lampertheim, St.                              Lampertheim, Stadt |
1324. |               Lampertheim, St.                              Lampertheim, Stadt |
      |--------------------------------------------------------------------------------|
1325. |               Lampertheim, St.                              Lampertheim, Stadt |
1326. |               Lampertheim, St.                              Lampertheim, Stadt |
1327. |               Lampertheim, St.                              Lampertheim, Stadt |
1328. |               Lampertheim, St.                              Lampertheim, Stadt |
1329. |               Lampertheim, St.                              Lampertheim, Stadt |
      |--------------------------------------------------------------------------------|
1330. |                    Langen, St.                          Langen (Hessen), Stadt |
1331. |                    Langen, St.                          Langen (Hessen), Stadt |
1332. |                    Langen, St.                          Langen (Hessen), Stadt |
1333. |                    Langen, St.                          Langen (Hessen), Stadt |
1334. |                    Langen, St.                          Langen (Hessen), Stadt |
      |--------------------------------------------------------------------------------|
1335. |                    Langen, St.                          Langen (Hessen), Stadt |
1336. |                    Langen, St.                          Langen (Hessen), Stadt |
1337. |                    Langen, St.                          Langen (Hessen), Stadt |
1338. |             Langenselbold, St.                            Langenselbold, Stadt |
1339. |             Langenselbold, St.                            Langenselbold, Stadt |
      |--------------------------------------------------------------------------------|
1340. |             Langenselbold, St.                            Langenselbold, Stadt |
1341. |             Langenselbold, St.                            Langenselbold, Stadt |
1342. |             Langenselbold, St.                            Langenselbold, Stadt |
1343. |             Langenselbold, St.                            Langenselbold, Stadt |
1344. |             Langenselbold, St.                            Langenselbold, Stadt |
      |--------------------------------------------------------------------------------|
1345. |                       Langg�ns                                        Langgöns |
1346. |                       Langg�ns                                        Langgöns |
1347. |                       Langg�ns                                        Langgöns |
1348. |                       Langg�ns                                        Langgöns |
1349. |                       Langg�ns                                        Langgöns |
      |--------------------------------------------------------------------------------|
1350. |                       Langg�ns                                        Langgöns |
1351. |                   Laubach, St.                                  Laubach, Stadt |
1352. |                   Laubach, St.                                  Laubach, Stadt |
1353. |                   Laubach, St.                                  Laubach, Stadt |
1354. |                   Laubach, St.                                  Laubach, Stadt |
      |--------------------------------------------------------------------------------|
1355. |                   Laubach, St.                                  Laubach, Stadt |
1372. |                      Leun, St.                                     Leun, Stadt |
1373. |                      Leun, St.                                     Leun, Stadt |
1374. |                      Leun, St.                                     Leun, Stadt |
1375. |                      Leun, St.                                     Leun, Stadt |
      |--------------------------------------------------------------------------------|
1376. |                      Leun, St.                                     Leun, Stadt |
1377. |                      Leun, St.                                     Leun, Stadt |
1378. |                      Leun, St.                                     Leun, Stadt |
1379. |                      Lich, St.                                     Lich, Stadt |
1380. |                      Lich, St.                                     Lich, Stadt |
      |--------------------------------------------------------------------------------|
1381. |                      Lich, St.                                     Lich, Stadt |
1382. |                      Lich, St.                                     Lich, Stadt |
1383. |                      Lich, St.                                     Lich, Stadt |
1384. |                      Lich, St.                                     Lich, Stadt |
1385. |                      Lich, St.                                     Lich, Stadt |
      |--------------------------------------------------------------------------------|
1386. |               Lichtenfels, St.                              Lichtenfels, Stadt |
1387. |               Lichtenfels, St.                              Lichtenfels, Stadt |
1388. |               Lichtenfels, St.                              Lichtenfels, Stadt |
1389. |               Lichtenfels, St.                              Lichtenfels, Stadt |
1390. |               Lichtenfels, St.                              Lichtenfels, Stadt |
      |--------------------------------------------------------------------------------|
1391. |               Lichtenfels, St.                              Lichtenfels, Stadt |
1392. |                  Liebenau, St.                                 Liebenau, Stadt |
1393. |                  Liebenau, St.                                 Liebenau, Stadt |
1394. |                  Liebenau, St.                                 Liebenau, Stadt |
1395. |                  Liebenau, St.                                 Liebenau, Stadt |
      |--------------------------------------------------------------------------------|
1400. |   Limburg a.d.Lahn, Kreisstadt                  Limburg a. d. Lahn, Kreisstadt |
1401. |   Limburg a.d.Lahn, Kreisstadt                  Limburg a. d. Lahn, Kreisstadt |
1402. |   Limburg a.d.Lahn, Kreisstadt                  Limburg a. d. Lahn, Kreisstadt |
1403. |   Limburg a.d.Lahn, Kreisstadt                  Limburg a. d. Lahn, Kreisstadt |
1408. |                    Linden, St.                                   Linden, Stadt |
      |--------------------------------------------------------------------------------|
1409. |                    Linden, St.                                   Linden, Stadt |
1410. |                    Linden, St.                                   Linden, Stadt |
1411. |                    Linden, St.                                   Linden, Stadt |
1412. |                    Linden, St.                                   Linden, Stadt |
1413. |                Lindenfels, St.                               Lindenfels, Stadt |
      |--------------------------------------------------------------------------------|
1414. |                Lindenfels, St.                               Lindenfels, Stadt |
1415. |                Lindenfels, St.                               Lindenfels, Stadt |
1416. |                Lindenfels, St.                               Lindenfels, Stadt |
1417. |                Lindenfels, St.                               Lindenfels, Stadt |
1433. |                    Lollar, St.                                   Lollar, Stadt |
      |--------------------------------------------------------------------------------|
1434. |                    Lollar, St.                                   Lollar, Stadt |
1435. |                    Lollar, St.                                   Lollar, Stadt |
1436. |                    Lollar, St.                                   Lollar, Stadt |
1437. |                    Lollar, St.                                   Lollar, Stadt |
1438. |                    Lollar, St.                                   Lollar, Stadt |
      |--------------------------------------------------------------------------------|
1439. |                     Lorch, St.                                    Lorch, Stadt |
1440. |                     Lorch, St.                                    Lorch, Stadt |
1441. |                     Lorch, St.                                    Lorch, Stadt |
1442. |                     Lorch, St.                                    Lorch, Stadt |
1443. |                     Lorch, St.                                    Lorch, Stadt |
      |--------------------------------------------------------------------------------|
1444. |                     Lorch, St.                                    Lorch, Stadt |
1445. |                     Lorch, St.                                    Lorch, Stadt |
1446. |                    Lorsch, St.                         Lorsch, Karolingerstadt |
1447. |                    Lorsch, St.                         Lorsch, Karolingerstadt |
1448. |                    Lorsch, St.                         Lorsch, Karolingerstadt |
      |--------------------------------------------------------------------------------|
1449. |                    Lorsch, St.                         Lorsch, Karolingerstadt |
1450. |                    Lorsch, St.                         Lorsch, Karolingerstadt |
1457. |                       L�hnberg                                        Löhnberg |
1458. |                       L�hnberg                                        Löhnberg |
1459. |                       L�hnberg                                        Löhnberg |
      |--------------------------------------------------------------------------------|
1460. |                       L�hnberg                                        Löhnberg |
1461. |                       L�hnberg                                        Löhnberg |
1462. |                     L�tzelbach                                      Lützelbach |
1463. |                     L�tzelbach                                      Lützelbach |
1464. |                     L�tzelbach                                      Lützelbach |
      |--------------------------------------------------------------------------------|
1465. |                     L�tzelbach                                      Lützelbach |
1466. |                     L�tzelbach                                      Lützelbach |
1467. |                     L�tzelbach                                      Lützelbach |
1473. |                   Maintal, St.                                  Maintal, Stadt |
1474. |                   Maintal, St.                                  Maintal, Stadt |
      |--------------------------------------------------------------------------------|
1475. |                   Maintal, St.                                  Maintal, Stadt |
1476. |                   Maintal, St.                                  Maintal, Stadt |
1477. |                   Maintal, St.                                  Maintal, Stadt |
1478. |                   Maintal, St.                                  Maintal, Stadt |
1479. |                   Maintal, St.                                  Maintal, Stadt |
      |--------------------------------------------------------------------------------|
1498. |                        Mei�ner                                         Meißner |
1499. |                        Mei�ner                                         Meißner |
1500. |                        Mei�ner                                         Meißner |
1501. |                        Mei�ner                                         Meißner |
1502. |                        Mei�ner                                         Meißner |
      |--------------------------------------------------------------------------------|
1503. |                 Melsungen, St.                                Melsungen, Stadt |
1504. |                 Melsungen, St.                                Melsungen, Stadt |
1505. |                 Melsungen, St.                                Melsungen, Stadt |
1506. |                 Melsungen, St.                                Melsungen, Stadt |
1507. |                 Melsungen, St.                                Melsungen, Stadt |
      |--------------------------------------------------------------------------------|
1513. |                      Merenberg                         Merenberg, Marktflecken |
1514. |                      Merenberg                         Merenberg, Marktflecken |
1515. |                      Merenberg                         Merenberg, Marktflecken |
1516. |                      Merenberg                         Merenberg, Marktflecken |
1550. |        M�rfelden-Walldorf, St.                       Mörfelden-Walldorf, Stadt |
      |--------------------------------------------------------------------------------|
1551. |        M�rfelden-Walldorf, St.                       Mörfelden-Walldorf, Stadt |
1552. |        M�rfelden-Walldorf, St.                       Mörfelden-Walldorf, Stadt |
1553. |        M�rfelden-Walldorf, St.                       Mörfelden-Walldorf, Stadt |
1554. |        M�rfelden-Walldorf, St.                       Mörfelden-Walldorf, Stadt |
1555. |        M�rfelden-Walldorf, St.                       Mörfelden-Walldorf, Stadt |
      |--------------------------------------------------------------------------------|
1556. |        M�rfelden-Walldorf, St.                       Mörfelden-Walldorf, Stadt |
1557. |                     M�rlenbach                                      Mörlenbach |
1558. |                     M�rlenbach                                      Mörlenbach |
1559. |                     M�rlenbach                                      Mörlenbach |
1560. |                     M�rlenbach                                      Mörlenbach |
      |--------------------------------------------------------------------------------|
1566. |          M�hlheim am Main, St.                         Mühlheim am Main, Stadt |
1567. |          M�hlheim am Main, St.                         Mühlheim am Main, Stadt |
1568. |          M�hlheim am Main, St.                         Mühlheim am Main, Stadt |
1569. |          M�hlheim am Main, St.                         Mühlheim am Main, Stadt |
1570. |          M�hlheim am Main, St.                         Mühlheim am Main, Stadt |
      |--------------------------------------------------------------------------------|
1571. |          M�hlheim am Main, St.                         Mühlheim am Main, Stadt |
1572. |                        M�hltal                                         Mühltal |
1573. |                        M�hltal                                         Mühltal |
1574. |                        M�hltal                                         Mühltal |
1575. |                        M�hltal                                         Mühltal |
      |--------------------------------------------------------------------------------|
1576. |                        M�hltal                                         Mühltal |
1577. |                        M�hltal                                         Mühltal |
1578. |                        M�hltal                                         Mühltal |
1579. |                    M�nchhausen                                     Münchhausen |
1580. |                    M�nchhausen                                     Münchhausen |
      |--------------------------------------------------------------------------------|
1581. |                    M�nchhausen                                     Münchhausen |
1582. |                    M�nchhausen                                     Münchhausen |
1588. |                M�nzenberg, St.                               Münzenberg, Stadt |
1589. |                M�nzenberg, St.                               Münzenberg, Stadt |
1590. |                M�nzenberg, St.                               Münzenberg, Stadt |
      |--------------------------------------------------------------------------------|
1591. |                M�nzenberg, St.                               Münzenberg, Stadt |
1592. |                M�nzenberg, St.                               Münzenberg, Stadt |
1593. |                M�nzenberg, St.                               Münzenberg, Stadt |
1602. |                  Naumburg, St.                                 Naumburg, Stadt |
1603. |                  Naumburg, St.                                 Naumburg, Stadt |
      |--------------------------------------------------------------------------------|
1604. |                  Naumburg, St.                                 Naumburg, Stadt |
1605. |                  Naumburg, St.                                 Naumburg, Stadt |
1606. |                  Naumburg, St.                                 Naumburg, Stadt |
1607. |            Neckarsteinach, St.                           Neckarsteinach, Stadt |
1608. |            Neckarsteinach, St.                           Neckarsteinach, Stadt |
      |--------------------------------------------------------------------------------|
1609. |            Neckarsteinach, St.                           Neckarsteinach, Stadt |
1610. |            Neckarsteinach, St.                           Neckarsteinach, Stadt |
1611. |            Neckarsteinach, St.                           Neckarsteinach, Stadt |
1612. |            Neckarsteinach, St.                           Neckarsteinach, Stadt |
1613. |            Neckarsteinach, St.                           Neckarsteinach, Stadt |
      |--------------------------------------------------------------------------------|
1619. |                    Neu-Anspach                              Neu-Anspach, Stadt |
1620. |                    Neu-Anspach                              Neu-Anspach, Stadt |
1621. |                    Neu-Anspach                              Neu-Anspach, Stadt |
1622. |                    Neu-Anspach                              Neu-Anspach, Stadt |
1623. |                    Neu-Anspach                              Neu-Anspach, Stadt |
      |--------------------------------------------------------------------------------|
1624. |                    Neu-Anspach                              Neu-Anspach, Stadt |
1625. |                    Neu-Anspach                              Neu-Anspach, Stadt |
1626. |                    Neu-Anspach                              Neu-Anspach, Stadt |
1627. |                    Neu-Anspach                              Neu-Anspach, Stadt |
1633. |              Neu-Isenburg, St.                             Neu-Isenburg, Stadt |
      |--------------------------------------------------------------------------------|
1634. |              Neu-Isenburg, St.                             Neu-Isenburg, Stadt |
1635. |              Neu-Isenburg, St.                             Neu-Isenburg, Stadt |
1636. |              Neu-Isenburg, St.                             Neu-Isenburg, Stadt |
1637. |              Neu-Isenburg, St.                             Neu-Isenburg, Stadt |
1638. |              Neu-Isenburg, St.                             Neu-Isenburg, Stadt |
      |--------------------------------------------------------------------------------|
1657. |                Neukirchen, St.                               Neukirchen, Stadt |
1658. |                Neukirchen, St.                               Neukirchen, Stadt |
1659. |                Neukirchen, St.                               Neukirchen, Stadt |
1660. |                Neukirchen, St.                               Neukirchen, Stadt |
1666. |                     Nidda, St.                                    Nidda, Stadt |
      |--------------------------------------------------------------------------------|
1667. |                     Nidda, St.                                    Nidda, Stadt |
1668. |                     Nidda, St.                                    Nidda, Stadt |
1669. |                     Nidda, St.                                    Nidda, Stadt |
1670. |                     Nidda, St.                                    Nidda, Stadt |
1671. |                     Nidda, St.                                    Nidda, Stadt |
      |--------------------------------------------------------------------------------|
1672. |                  Niddatal, St.                                 Niddatal, Stadt |
1673. |                  Niddatal, St.                                 Niddatal, Stadt |
1674. |                  Niddatal, St.                                 Niddatal, Stadt |
1675. |                  Niddatal, St.                                 Niddatal, Stadt |
1676. |                  Niddatal, St.                                 Niddatal, Stadt |
      |--------------------------------------------------------------------------------|
1677. |                  Nidderau, St.                                 Nidderau, Stadt |
1678. |                  Nidderau, St.                                 Nidderau, Stadt |
1679. |                  Nidderau, St.                                 Nidderau, Stadt |
1680. |                  Nidderau, St.                                 Nidderau, Stadt |
1681. |               Niedenstein, St.                              Niedenstein, Stadt |
      |--------------------------------------------------------------------------------|
1682. |               Niedenstein, St.                              Niedenstein, Stadt |
1683. |               Niedenstein, St.                              Niedenstein, Stadt |
1684. |               Niedenstein, St.                              Niedenstein, Stadt |
1685. |                     Niederaula                       Niederaula, Marktgemeinde |
1686. |                     Niederaula                       Niederaula, Marktgemeinde |
      |--------------------------------------------------------------------------------|
1687. |                     Niederaula                       Niederaula, Marktgemeinde |
1688. |                     Niederaula                       Niederaula, Marktgemeinde |
1714. |                        N�sttal                                         Nüsttal |
1715. |                        N�sttal                                         Nüsttal |
1716. |                        N�sttal                                         Nüsttal |
      |--------------------------------------------------------------------------------|
1717. |                        N�sttal                                         Nüsttal |
1718. |                    Ober-M�rlen                                     Ober-Mörlen |
1719. |                    Ober-M�rlen                                     Ober-Mörlen |
1720. |                    Ober-M�rlen                                     Ober-Mörlen |
1721. |                    Ober-M�rlen                                     Ober-Mörlen |
      |--------------------------------------------------------------------------------|
1722. |                    Ober-M�rlen                                     Ober-Mörlen |
1723. |                    Ober-M�rlen                                     Ober-Mörlen |
1733. |              Obertshausen, St.                             Obertshausen, Stadt |
1734. |              Obertshausen, St.                             Obertshausen, Stadt |
1735. |              Obertshausen, St.                             Obertshausen, Stadt |
      |--------------------------------------------------------------------------------|
1736. |              Obertshausen, St.                             Obertshausen, Stadt |
1762. |                 Ortenberg, St.                                Ortenberg, Stadt |
1763. |                 Ortenberg, St.                                Ortenberg, Stadt |
1764. |                 Ortenberg, St.                                Ortenberg, Stadt |
1765. |                 Ortenberg, St.                                Ortenberg, Stadt |
      |--------------------------------------------------------------------------------|
1766. |                 Ortenberg, St.                                Ortenberg, Stadt |
1767. |                 Ortenberg, St.                                Ortenberg, Stadt |
1789. |           Philippsthal (Werra)             Philippsthal (Werra), Marktgemeinde |
1790. |           Philippsthal (Werra)             Philippsthal (Werra), Marktgemeinde |
1791. |           Philippsthal (Werra)             Philippsthal (Werra), Marktgemeinde |
      |--------------------------------------------------------------------------------|
1792. |           Philippsthal (Werra)             Philippsthal (Werra), Marktgemeinde |
1793. |           Philippsthal (Werra)             Philippsthal (Werra), Marktgemeinde |
1794. |           Philippsthal (Werra)             Philippsthal (Werra), Marktgemeinde |
1795. |                  Pohlheim, St.                                 Pohlheim, Stadt |
1796. |                  Pohlheim, St.                                 Pohlheim, Stadt |
      |--------------------------------------------------------------------------------|
1797. |                  Pohlheim, St.                                 Pohlheim, Stadt |
1798. |                  Pohlheim, St.                                 Pohlheim, Stadt |
1799. |                  Pohlheim, St.                                 Pohlheim, Stadt |
1819. |                  Raunheim, St.                                 Raunheim, Stadt |
1820. |                  Raunheim, St.                                 Raunheim, Stadt |
      |--------------------------------------------------------------------------------|
1821. |                  Raunheim, St.                                 Raunheim, Stadt |
1822. |                  Raunheim, St.                                 Raunheim, Stadt |
1823. |                  Raunheim, St.                                 Raunheim, Stadt |
1824. |                  Raunheim, St.                                 Raunheim, Stadt |
1825. |              Rauschenberg, St.                             Rauschenberg, Stadt |
      |--------------------------------------------------------------------------------|
1826. |              Rauschenberg, St.                             Rauschenberg, Stadt |
1827. |              Rauschenberg, St.                             Rauschenberg, Stadt |
1828. |              Rauschenberg, St.                             Rauschenberg, Stadt |
1829. |              Rauschenberg, St.                             Rauschenberg, Stadt |
1830. |              Rauschenberg, St.                             Rauschenberg, Stadt |
      |--------------------------------------------------------------------------------|
1831. |              Rauschenberg, St.                             Rauschenberg, Stadt |
1847. |                  Reinheim, St.                                 Reinheim, Stadt |
1848. |                  Reinheim, St.                                 Reinheim, Stadt |
1849. |                  Reinheim, St.                                 Reinheim, Stadt |
1850. |                  Reinheim, St.                                 Reinheim, Stadt |
      |--------------------------------------------------------------------------------|
1851. |                  Reinheim, St.                                 Reinheim, Stadt |
1859. |                      Riedstadt                                Riedstadt, Stadt |
1860. |                      Riedstadt                                Riedstadt, Stadt |
1861. |                      Riedstadt                                Riedstadt, Stadt |
1862. |                      Riedstadt                                Riedstadt, Stadt |
      |--------------------------------------------------------------------------------|
1863. |                      Riedstadt                                Riedstadt, Stadt |
1864. |                      Riedstadt                                Riedstadt, Stadt |
1865. |                      Riedstadt                                Riedstadt, Stadt |
1866. |                      Riedstadt                                Riedstadt, Stadt |
1867. |                      Riedstadt                                Riedstadt, Stadt |
      |--------------------------------------------------------------------------------|
1889. |                    Rodgau, St.                                   Rodgau, Stadt |
1890. |                    Rodgau, St.                                   Rodgau, Stadt |
1891. |                    Rodgau, St.                                   Rodgau, Stadt |
1892. |                    Rodgau, St.                                   Rodgau, Stadt |
1893. |                    Rodgau, St.                                   Rodgau, Stadt |
      |--------------------------------------------------------------------------------|
1894. |                    Romrod, St.                                   Romrod, Stadt |
1895. |                    Romrod, St.                                   Romrod, Stadt |
1896. |                    Romrod, St.                                   Romrod, Stadt |
1897. |                    Romrod, St.                                   Romrod, Stadt |
1898. |                    Romrod, St.                                   Romrod, Stadt |
      |--------------------------------------------------------------------------------|
1909. |          Rosbach v.d.H�he, St.                       Rosbach v. d. Höhe, Stadt |
1910. |          Rosbach v.d.H�he, St.                       Rosbach v. d. Höhe, Stadt |
1911. |          Rosbach v.d.H�he, St.                       Rosbach v. d. Höhe, Stadt |
1912. |          Rosbach v.d.H�he, St.                       Rosbach v. d. Höhe, Stadt |
1913. |          Rosbach v.d.H�he, St.                       Rosbach v. d. Höhe, Stadt |
      |--------------------------------------------------------------------------------|
1914. |          Rosbach v.d.H�he, St.                       Rosbach v. d. Höhe, Stadt |
1915. |          Rosbach v.d.H�he, St.                       Rosbach v. d. Höhe, Stadt |
1916. |          Rosbach v.d.H�he, St.                       Rosbach v. d. Höhe, Stadt |
1917. |                 Rosenthal, St.                                Rosenthal, Stadt |
1918. |                 Rosenthal, St.                                Rosenthal, Stadt |
      |--------------------------------------------------------------------------------|
1919. |                 Rosenthal, St.                                Rosenthal, Stadt |
1920. |                 Rosenthal, St.                                Rosenthal, Stadt |
1921. |                 Rosenthal, St.                                Rosenthal, Stadt |
1922. |      Rotenburg a.d. Fulda, St.                    Rotenburg a. d. Fulda, Stadt |
1923. |      Rotenburg a.d. Fulda, St.                    Rotenburg a. d. Fulda, Stadt |
      |--------------------------------------------------------------------------------|
1924. |      Rotenburg a.d. Fulda, St.                    Rotenburg a. d. Fulda, Stadt |
1925. |      Rotenburg a.d. Fulda, St.                    Rotenburg a. d. Fulda, Stadt |
1926. |      Rotenburg a.d. Fulda, St.                    Rotenburg a. d. Fulda, Stadt |
1927. |      Rotenburg a.d. Fulda, St.                    Rotenburg a. d. Fulda, Stadt |
1932. |                        Ro�dorf                                         Roßdorf |
      |--------------------------------------------------------------------------------|
1933. |                        Ro�dorf                                         Roßdorf |
1934. |                        Ro�dorf                                         Roßdorf |
1935. |                        Ro�dorf                                         Roßdorf |
1936. |                        Ro�dorf                                         Roßdorf |
1937. |                    Runkel, St.                                   Runkel, Stadt |
      |--------------------------------------------------------------------------------|
1938. |                    Runkel, St.                                   Runkel, Stadt |
1939. |                    Runkel, St.                                   Runkel, Stadt |
1940. |                    Runkel, St.                                   Runkel, Stadt |
1941. |                    Runkel, St.                                   Runkel, Stadt |
1942. |                    Runkel, St.                                   Runkel, Stadt |
      |--------------------------------------------------------------------------------|
1943. |                    Runkel, St.                                   Runkel, Stadt |
1944. |                 R�dermark, St.                                Rödermark, Stadt |
1945. |                 R�dermark, St.                                Rödermark, Stadt |
1946. |                 R�dermark, St.                                Rödermark, Stadt |
1947. |                 R�dermark, St.                                Rödermark, Stadt |
      |--------------------------------------------------------------------------------|
1948. |                 R�dermark, St.                                Rödermark, Stadt |
1949. |                 R�dermark, St.                                Rödermark, Stadt |
1950. |                 R�dermark, St.                                Rödermark, Stadt |
1951. |                 R�dermark, St.                                Rödermark, Stadt |
1952. |        R�desheim am Rhein, St.                       Rüdesheim am Rhein, Stadt |
      |--------------------------------------------------------------------------------|
1953. |        R�desheim am Rhein, St.                       Rüdesheim am Rhein, Stadt |
1954. |        R�desheim am Rhein, St.                       Rüdesheim am Rhein, Stadt |
1955. |        R�desheim am Rhein, St.                       Rüdesheim am Rhein, Stadt |
1956. |        R�desheim am Rhein, St.                       Rüdesheim am Rhein, Stadt |
1957. |        R�desheim am Rhein, St.                       Rüdesheim am Rhein, Stadt |
      |--------------------------------------------------------------------------------|
1958. |        R�desheim am Rhein, St.                       Rüdesheim am Rhein, Stadt |
1959. |               R�sselsheim, St.                      Rüsselsheim am Main, Stadt |
1960. |               R�sselsheim, St.                      Rüsselsheim am Main, Stadt |
1961. |               R�sselsheim, St.                      Rüsselsheim am Main, Stadt |
1962. |               R�sselsheim, St.                      Rüsselsheim am Main, Stadt |
      |--------------------------------------------------------------------------------|
1963. |               R�sselsheim, St.                      Rüsselsheim am Main, Stadt |
1964. |               R�sselsheim, St.                      Rüsselsheim am Main, Stadt |
1965. |               R�sselsheim, St.                      Rüsselsheim am Main, Stadt |
1966. |               R�sselsheim, St.                      Rüsselsheim am Main, Stadt |
1993. |                   Schlitz, St.                                  Schlitz, Stadt |
      |--------------------------------------------------------------------------------|
1994. |                   Schlitz, St.                                  Schlitz, Stadt |
1995. |                   Schlitz, St.                                  Schlitz, Stadt |
1996. |                   Schlitz, St.                                  Schlitz, Stadt |
1997. |                   Schlitz, St.                                  Schlitz, Stadt |
1998. |                   Schlitz, St.                                  Schlitz, Stadt |
      |--------------------------------------------------------------------------------|
1999. |                   Schlitz, St.                                  Schlitz, Stadt |
2000. |               Schl�chtern, St.                              Schlüchtern, Stadt |
2001. |               Schl�chtern, St.                              Schlüchtern, Stadt |
2002. |               Schl�chtern, St.                              Schlüchtern, Stadt |
2003. |               Schl�chtern, St.                              Schlüchtern, Stadt |
      |--------------------------------------------------------------------------------|
2004. |               Schl�chtern, St.                              Schlüchtern, Stadt |
2005. |               Schl�chtern, St.                              Schlüchtern, Stadt |
2006. |               Schl�chtern, St.                              Schlüchtern, Stadt |
2012. |                  Schotten, St.                                 Schotten, Stadt |
2013. |                  Schotten, St.                                 Schotten, Stadt |
      |--------------------------------------------------------------------------------|
2014. |                  Schotten, St.                                 Schotten, Stadt |
2015. |                  Schotten, St.                                 Schotten, Stadt |
2016. |                  Schotten, St.                                 Schotten, Stadt |
2029. |              Schwalmstadt, St.                Schwalmstadt, Konfirmationsstadt |
2030. |              Schwalmstadt, St.                Schwalmstadt, Konfirmationsstadt |
      |--------------------------------------------------------------------------------|
2031. |              Schwalmstadt, St.                Schwalmstadt, Konfirmationsstadt |
2032. |              Schwalmstadt, St.                Schwalmstadt, Konfirmationsstadt |
2033. |              Schwalmstadt, St.                Schwalmstadt, Konfirmationsstadt |
2034. |              Schwalmstadt, St.                Schwalmstadt, Konfirmationsstadt |
2035. |              Schwalmstadt, St.                Schwalmstadt, Konfirmationsstadt |
      |--------------------------------------------------------------------------------|
2042. |             Schwarzenborn, St.                            Schwarzenborn, Stadt |
2043. |             Schwarzenborn, St.                            Schwarzenborn, Stadt |
2044. |             Schwarzenborn, St.                            Schwarzenborn, Stadt |
2045. |             Schwarzenborn, St.                            Schwarzenborn, Stadt |
2046. |             Schwarzenborn, St.                            Schwarzenborn, Stadt |
      |--------------------------------------------------------------------------------|
2047. |                  Sch�ffengrund                                   Schöffengrund |
2048. |                  Sch�ffengrund                                   Schöffengrund |
2049. |                  Sch�ffengrund                                   Schöffengrund |
2050. |                  Sch�ffengrund                                   Schöffengrund |
2051. |                  Sch�ffengrund                                   Schöffengrund |
      |--------------------------------------------------------------------------------|
2052. |                  Sch�ffengrund                                   Schöffengrund |
2053. |                       Sch�neck                                        Schöneck |
2054. |                       Sch�neck                                        Schöneck |
2055. |                       Sch�neck                                        Schöneck |
2056. |                       Sch�neck                                        Schöneck |
      |--------------------------------------------------------------------------------|
2057. |                       Sch�neck                                        Schöneck |
2058. |                       Sch�neck                                        Schöneck |
2059. |                       Sch�neck                                        Schöneck |
2099. |                     Solms, St.                                    Solms, Stadt |
2100. |                     Solms, St.                                    Solms, Stadt |
      |--------------------------------------------------------------------------------|
2101. |                     Solms, St.                                    Solms, Stadt |
2102. |                     Solms, St.                                    Solms, Stadt |
2103. |                     Solms, St.                                    Solms, Stadt |
2104. |                    Sontra, St.                                   Sontra, Stadt |
2105. |                    Sontra, St.                                   Sontra, Stadt |
      |--------------------------------------------------------------------------------|
2106. |                    Sontra, St.                                   Sontra, Stadt |
2107. |                    Sontra, St.                                   Sontra, Stadt |
2108. |                    Sontra, St.                                   Sontra, Stadt |
2109. |               Spangenberg, St.                    Spangenberg, Liebenbachstadt |
2110. |               Spangenberg, St.                    Spangenberg, Liebenbachstadt |
      |--------------------------------------------------------------------------------|
2111. |               Spangenberg, St.                    Spangenberg, Liebenbachstadt |
2112. |               Spangenberg, St.                    Spangenberg, Liebenbachstadt |
2113. |               Spangenberg, St.                    Spangenberg, Liebenbachstadt |
2121. |               Staufenberg, St.                              Staufenberg, Stadt |
2122. |               Staufenberg, St.                              Staufenberg, Stadt |
      |--------------------------------------------------------------------------------|
2123. |               Staufenberg, St.                              Staufenberg, Stadt |
2124. |               Staufenberg, St.                              Staufenberg, Stadt |
2125. |               Staufenberg, St.                              Staufenberg, Stadt |
2131. |     Steinau an der Stra�e, St.       Steinau an der Straße, Brüder-Grimm-Stadt |
2132. |     Steinau an der Stra�e, St.       Steinau an der Straße, Brüder-Grimm-Stadt |
      |--------------------------------------------------------------------------------|
2133. |     Steinau an der Stra�e, St.       Steinau an der Straße, Brüder-Grimm-Stadt |
2134. |     Steinau an der Stra�e, St.       Steinau an der Straße, Brüder-Grimm-Stadt |
2135. |     Steinau an der Stra�e, St.       Steinau an der Straße, Brüder-Grimm-Stadt |
2154. |                      S�hrewald                                       Söhrewald |
2155. |                      S�hrewald                                       Söhrewald |
      |--------------------------------------------------------------------------------|
2156. |                      S�hrewald                                       Söhrewald |
2157. |                      S�hrewald                                       Söhrewald |
2158. |               Tann (Rh�n), St.                              Tann (Rhön), Stadt |
2159. |               Tann (Rh�n), St.                              Tann (Rhön), Stadt |
2160. |               Tann (Rh�n), St.                              Tann (Rhön), Stadt |
      |--------------------------------------------------------------------------------|
2161. |               Tann (Rh�n), St.                              Tann (Rhön), Stadt |
2162. |               Taunusstein, St.                              Taunusstein, Stadt |
2163. |               Taunusstein, St.                              Taunusstein, Stadt |
2164. |               Taunusstein, St.                              Taunusstein, Stadt |
2165. |               Taunusstein, St.                              Taunusstein, Stadt |
      |--------------------------------------------------------------------------------|
2166. |               Taunusstein, St.                              Taunusstein, Stadt |
2173. |               Trendelburg, St.                              Trendelburg, Stadt |
2174. |               Trendelburg, St.                              Trendelburg, Stadt |
2175. |               Trendelburg, St.                              Trendelburg, Stadt |
2176. |               Trendelburg, St.                              Trendelburg, Stadt |
      |--------------------------------------------------------------------------------|
2177. |               Trendelburg, St.                              Trendelburg, Stadt |
2178. |               Trendelburg, St.                              Trendelburg, Stadt |
2185. |               Ulrichstein, St.                              Ulrichstein, Stadt |
2186. |               Ulrichstein, St.                              Ulrichstein, Stadt |
2187. |               Ulrichstein, St.                              Ulrichstein, Stadt |
      |--------------------------------------------------------------------------------|
2188. |               Ulrichstein, St.                              Ulrichstein, Stadt |
2189. |               Ulrichstein, St.                              Ulrichstein, Stadt |
2190. |                   Usingen, St.                                  Usingen, Stadt |
2191. |                   Usingen, St.                                  Usingen, Stadt |
2192. |                   Usingen, St.                                  Usingen, Stadt |
      |--------------------------------------------------------------------------------|
2193. |                   Usingen, St.                                  Usingen, Stadt |
2194. |                   Usingen, St.                                  Usingen, Stadt |
2195. |                   Usingen, St.                                  Usingen, Stadt |
2196. |                   Usingen, St.                                  Usingen, Stadt |
2197. |                   Vellmar, St.                                  Vellmar, Stadt |
      |--------------------------------------------------------------------------------|
2198. |                   Vellmar, St.                                  Vellmar, Stadt |
2199. |                   Vellmar, St.                                  Vellmar, Stadt |
2200. |                   Vellmar, St.                                  Vellmar, Stadt |
2201. |                 Viernheim, St.                                Viernheim, Stadt |
2202. |                 Viernheim, St.                                Viernheim, Stadt |
      |--------------------------------------------------------------------------------|
2203. |                 Viernheim, St.                                Viernheim, Stadt |
2204. |                 Viernheim, St.                                Viernheim, Stadt |
2205. |                 Viernheim, St.                                Viernheim, Stadt |
2206. |                 Viernheim, St.                                Viernheim, Stadt |
2207. |                        Villmar                           Villmar, Marktflecken |
      |--------------------------------------------------------------------------------|
2208. |                        Villmar                           Villmar, Marktflecken |
2209. |                        Villmar                           Villmar, Marktflecken |
2210. |                        Villmar                           Villmar, Marktflecken |
2211. |                        Villmar                           Villmar, Marktflecken |
2212. |                        Villmar                           Villmar, Marktflecken |
      |--------------------------------------------------------------------------------|
2213. |                        Villmar                           Villmar, Marktflecken |
2214. |                Volkmarsen, St.                               Volkmarsen, Stadt |
2215. |                Volkmarsen, St.                               Volkmarsen, Stadt |
2216. |                Volkmarsen, St.                               Volkmarsen, Stadt |
2217. |                Volkmarsen, St.                               Volkmarsen, Stadt |
      |--------------------------------------------------------------------------------|
2244. |                   Waldeck, St.                                  Waldeck, Stadt |
2245. |                   Waldeck, St.                                  Waldeck, Stadt |
2246. |                   Waldeck, St.                                  Waldeck, Stadt |
2247. |                   Waldeck, St.                                  Waldeck, Stadt |
2248. |                   Waldeck, St.                                  Waldeck, Stadt |
      |--------------------------------------------------------------------------------|
2256. |                Waldkappel, St.                               Waldkappel, Stadt |
2257. |                Waldkappel, St.                               Waldkappel, Stadt |
2258. |                Waldkappel, St.                               Waldkappel, Stadt |
2259. |                Waldkappel, St.                               Waldkappel, Stadt |
2260. |                Waldkappel, St.                               Waldkappel, Stadt |
      |--------------------------------------------------------------------------------|
2261. |                Waldkappel, St.                               Waldkappel, Stadt |
2274. |                  Wanfried, St.                                 Wanfried, Stadt |
2275. |                  Wanfried, St.                                 Wanfried, Stadt |
2276. |                  Wanfried, St.                                 Wanfried, Stadt |
2277. |                  Wanfried, St.                                 Wanfried, Stadt |
      |--------------------------------------------------------------------------------|
2278. |                  Wanfried, St.                                 Wanfried, Stadt |
2293. |                  Weilburg, St.                                 Weilburg, Stadt |
2294. |                  Weilburg, St.                                 Weilburg, Stadt |
2295. |                  Weilburg, St.                                 Weilburg, Stadt |
2296. |                  Weilburg, St.                                 Weilburg, Stadt |
      |--------------------------------------------------------------------------------|
2297. |                  Weilburg, St.                                 Weilburg, Stadt |
2298. |                  Weilburg, St.                                 Weilburg, Stadt |
2299. |      Weilm�nster, Marktflecken                       Weilmünster, Marktflecken |
2300. |      Weilm�nster, Marktflecken                       Weilmünster, Marktflecken |
2301. |      Weilm�nster, Marktflecken                       Weilmünster, Marktflecken |
      |--------------------------------------------------------------------------------|
2302. |      Weilm�nster, Marktflecken                       Weilmünster, Marktflecken |
2303. |      Weilm�nster, Marktflecken                       Weilmünster, Marktflecken |
2304. |      Weilm�nster, Marktflecken                       Weilmünster, Marktflecken |
2305. |      Weilm�nster, Marktflecken                       Weilmünster, Marktflecken |
2313. |                         Weimar                                   Weimar (Lahn) |
      |--------------------------------------------------------------------------------|
2314. |                         Weimar                                   Weimar (Lahn) |
2315. |                         Weimar                                   Weimar (Lahn) |
2316. |                         Weimar                                   Weimar (Lahn) |
2317. |                         Weimar                                   Weimar (Lahn) |
2329. |                     Wei�enborn                                      Weißenborn |
      |--------------------------------------------------------------------------------|
2330. |                     Wei�enborn                                      Weißenborn |
2331. |                     Wei�enborn                                      Weißenborn |
2332. |                     Wei�enborn                                      Weißenborn |
2333. |                     Wei�enborn                                      Weißenborn |
2334. |                     Wei�enborn                                      Weißenborn |
      |--------------------------------------------------------------------------------|
2345. |                   Wetzlar, St.                                  Wetzlar, Stadt |
2346. |                   Wetzlar, St.                                  Wetzlar, Stadt |
2347. |                   Wetzlar, St.                                  Wetzlar, Stadt |
2348. |                   Wetzlar, St.                                  Wetzlar, Stadt |
2349. |                   Wetzlar, St.                                  Wetzlar, Stadt |
      |--------------------------------------------------------------------------------|
2371. |              Witzenhausen, St.                             Witzenhausen, Stadt |
2372. |              Witzenhausen, St.                             Witzenhausen, Stadt |
2373. |              Witzenhausen, St.                             Witzenhausen, Stadt |
2374. |              Witzenhausen, St.                             Witzenhausen, Stadt |
2375. |              Witzenhausen, St.                             Witzenhausen, Stadt |
      |--------------------------------------------------------------------------------|
2376. |              Witzenhausen, St.                             Witzenhausen, Stadt |
2377. |              Witzenhausen, St.                             Witzenhausen, Stadt |
2378. |              Witzenhausen, St.                             Witzenhausen, Stadt |
2379. |              Witzenhausen, St.                             Witzenhausen, Stadt |
2380. |              Witzenhausen, St.                             Witzenhausen, Stadt |
      |--------------------------------------------------------------------------------|
2386. |                 Wolfhagen, St.                                Wolfhagen, Stadt |
2387. |                 Wolfhagen, St.                                Wolfhagen, Stadt |
2388. |                 Wolfhagen, St.                                Wolfhagen, Stadt |
2389. |                 Wolfhagen, St.                                Wolfhagen, Stadt |
2390. |                 Wolfhagen, St.                                Wolfhagen, Stadt |
      |--------------------------------------------------------------------------------|
2391. |              W�chtersbach, St.                             Wächtersbach, Stadt |
2392. |              W�chtersbach, St.                             Wächtersbach, Stadt |
2393. |              W�chtersbach, St.                             Wächtersbach, Stadt |
2394. |              W�chtersbach, St.                             Wächtersbach, Stadt |
2395. |              W�chtersbach, St.                             Wächtersbach, Stadt |
      |--------------------------------------------------------------------------------|
2396. |                    W�lfersheim                                     Wölfersheim |
2397. |                    W�lfersheim                                     Wölfersheim |
2398. |                    W�lfersheim                                     Wölfersheim |
2399. |                    W�lfersheim                                     Wölfersheim |
2400. |                    W�lfersheim                                     Wölfersheim |
      |--------------------------------------------------------------------------------|
2401. |                    W�lfersheim                                     Wölfersheim |
2402. |                      W�llstadt                                       Wöllstadt |
2403. |                      W�llstadt                                       Wöllstadt |
2404. |                      W�llstadt                                       Wöllstadt |
2405. |                      W�llstadt                                       Wöllstadt |
      |--------------------------------------------------------------------------------|
2406. |                      W�llstadt                                       Wöllstadt |
2407. |                      W�llstadt                                       Wöllstadt |
2408. |                Zierenberg, St.                               Zierenberg, Stadt |
2409. |                Zierenberg, St.                               Zierenberg, Stadt |
2410. |                Zierenberg, St.                               Zierenberg, Stadt |
      |--------------------------------------------------------------------------------|
2411. |                Zierenberg, St.                               Zierenberg, Stadt |
2412. |                Zierenberg, St.                               Zierenberg, Stadt |
2413. |               Zwingenberg, St.                              Zwingenberg, Stadt |
2414. |               Zwingenberg, St.                              Zwingenberg, Stadt |
2415. |               Zwingenberg, St.                              Zwingenberg, Stadt |
      |--------------------------------------------------------------------------------|
2416. |               Zwingenberg, St.                              Zwingenberg, Stadt |
2417. |               Zwingenberg, St.                              Zwingenberg, Stadt |
2418. |               Zwingenberg, St.                              Zwingenberg, Stadt |
2419. |               Zwingenberg, St.                              Zwingenberg, Stadt |
      +--------------------------------------------------------------------------------+

. drop _merge

. 
. *Preparing gemeindename for match with kreis (Landratswahlen)
. replace kreis = "Odenwaldkreis" if id == 427 // New city since 2018, not in Garmann's data
(2 real changes made)

. 
. sort kreis 

. egen temp1 = group(kreis) // Grouping data by Kreis

. fre temp1 kreis  // Checking the list of Kreis 

temp1 -- group(kreis)
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   1     |        125       5.16       5.16       5.16
        2     |          9       0.37       0.37       5.53
        3     |        130       5.37       5.37      10.90
        4     |          8       0.33       0.33      11.24
        5     |        116       4.79       4.79      16.03
        6     |        102       4.21       4.21      20.24
        7     |         91       3.76       3.76      24.00
        8     |        111       4.58       4.58      28.58
        9     |         82       3.39       3.39      31.97
        10    |        146       6.03       6.03      38.00
        11    |          6       0.25       0.25      38.25
        12    |        139       5.74       5.74      43.99
        13    |        102       4.21       4.21      48.20
        14    |        177       7.31       7.31      55.51
        15    |         72       2.97       2.97      58.49
        16    |        120       4.96       4.96      63.44
        17    |         83       3.43       3.43      66.87
        18    |         78       3.22       3.22      70.10
        19    |          8       0.33       0.33      70.43
        20    |        107       4.42       4.42      74.85
        21    |        137       5.66       5.66      80.50
        22    |        105       4.34       4.34      84.84
        23    |        123       5.08       5.08      89.92
        24    |         88       3.63       3.63      93.56
        25    |        148       6.11       6.11      99.67
        26    |          8       0.33       0.33     100.00
        Total |       2421     100.00     100.00           
-----------------------------------------------------------

kreis -- Kreis
----------------------------------------------------------------------------------
                                     |      Freq.    Percent      Valid       Cum.
-------------------------------------+--------------------------------------------
Valid   Bergstra�e                   |        125       5.16       5.16       5.16
        Darmstadt (kreisfreie Stadt) |          9       0.37       0.37       5.53
        Darmstadt-Dieburg            |        130       5.37       5.37      10.90
        Frankfurt (kreisfreie Stadt) |          8       0.33       0.33      11.24
        Fulda                        |        116       4.79       4.79      16.03
        Gie�en                       |        102       4.21       4.21      20.24
        Gro�-Gerau                   |         91       3.76       3.76      24.00
        Hersfeld-Rotenburg           |        111       4.58       4.58      28.58
        Hochtaunuskreis              |         82       3.39       3.39      31.97
        Kassel                       |        146       6.03       6.03      38.00
        Kassel (kreisfreie Stadt)    |          6       0.25       0.25      38.25
        Lahn-Dill-Kreis              |        139       5.74       5.74      43.99
        Limburg-Weilburg             |        102       4.21       4.21      48.20
        Main-Kinzig-Kreis            |        177       7.31       7.31      55.51
        Main-Taunus-Kreis            |         72       2.97       2.97      58.49
        Marburg-Biedenkopf           |        120       4.96       4.96      63.44
        Odenwaldkreis                |         83       3.43       3.43      66.87
        Offenbach                    |         78       3.22       3.22      70.10
        Offenbach (kreisfreie Stadt) |          8       0.33       0.33      70.43
        Rheingau-Taunus-Kreis        |        107       4.42       4.42      74.85
        Schwalm-Eder-Kreis           |        137       5.66       5.66      80.50
        Vogelbergskreis              |        105       4.34       4.34      84.84
        Waldeck-Frankenberg          |        123       5.08       5.08      89.92
        Werra-Mei�ner-Kreis          |         88       3.63       3.63      93.56
        Wetteraukreis                |        148       6.11       6.11      99.67
        Wiesbaden (kreisfreie Stadt) |          8       0.33       0.33     100.00
        Total                        |       2421     100.00     100.00           
----------------------------------------------------------------------------------

. gen filter = inlist(temp1, 2, 4, 11, 19, 26) // "kreisfreie Stadt", not included in Landratswahlen, we need to put them at the 
> end of the list

. gen temp2 = kreis 

. replace temp2 = "zzz" if filter == 1 // The "kreisfreie Stadt" will become a new kreis "zzz"  
(39 real changes made)

. sort temp2

. egen kreis_groupped = group(temp2) 

. sort kreis_groupped  kreis 

. list kreis_groupped kreis // 21 + 1 kreis_groupped (can be matched)

      +-----------------------------------------+
      | kreis_~d                          kreis |
      |-----------------------------------------|
   1. |        1                     Bergstra�e |
   2. |        1                     Bergstra�e |
   3. |        1                     Bergstra�e |
   4. |        1                     Bergstra�e |
   5. |        1                     Bergstra�e |
      |-----------------------------------------|
   6. |        1                     Bergstra�e |
   7. |        1                     Bergstra�e |
   8. |        1                     Bergstra�e |
   9. |        1                     Bergstra�e |
  10. |        1                     Bergstra�e |
      |-----------------------------------------|
  11. |        1                     Bergstra�e |
  12. |        1                     Bergstra�e |
  13. |        1                     Bergstra�e |
  14. |        1                     Bergstra�e |
  15. |        1                     Bergstra�e |
      |-----------------------------------------|
  16. |        1                     Bergstra�e |
  17. |        1                     Bergstra�e |
  18. |        1                     Bergstra�e |
  19. |        1                     Bergstra�e |
  20. |        1                     Bergstra�e |
      |-----------------------------------------|
  21. |        1                     Bergstra�e |
  22. |        1                     Bergstra�e |
  23. |        1                     Bergstra�e |
  24. |        1                     Bergstra�e |
  25. |        1                     Bergstra�e |
      |-----------------------------------------|
  26. |        1                     Bergstra�e |
  27. |        1                     Bergstra�e |
  28. |        1                     Bergstra�e |
  29. |        1                     Bergstra�e |
  30. |        1                     Bergstra�e |
      |-----------------------------------------|
  31. |        1                     Bergstra�e |
  32. |        1                     Bergstra�e |
  33. |        1                     Bergstra�e |
  34. |        1                     Bergstra�e |
  35. |        1                     Bergstra�e |
      |-----------------------------------------|
  36. |        1                     Bergstra�e |
  37. |        1                     Bergstra�e |
  38. |        1                     Bergstra�e |
  39. |        1                     Bergstra�e |
  40. |        1                     Bergstra�e |
      |-----------------------------------------|
  41. |        1                     Bergstra�e |
  42. |        1                     Bergstra�e |
  43. |        1                     Bergstra�e |
  44. |        1                     Bergstra�e |
  45. |        1                     Bergstra�e |
      |-----------------------------------------|
  46. |        1                     Bergstra�e |
  47. |        1                     Bergstra�e |
  48. |        1                     Bergstra�e |
  49. |        1                     Bergstra�e |
  50. |        1                     Bergstra�e |
      |-----------------------------------------|
  51. |        1                     Bergstra�e |
  52. |        1                     Bergstra�e |
  53. |        1                     Bergstra�e |
  54. |        1                     Bergstra�e |
  55. |        1                     Bergstra�e |
      |-----------------------------------------|
  56. |        1                     Bergstra�e |
  57. |        1                     Bergstra�e |
  58. |        1                     Bergstra�e |
  59. |        1                     Bergstra�e |
  60. |        1                     Bergstra�e |
      |-----------------------------------------|
  61. |        1                     Bergstra�e |
  62. |        1                     Bergstra�e |
  63. |        1                     Bergstra�e |
  64. |        1                     Bergstra�e |
  65. |        1                     Bergstra�e |
      |-----------------------------------------|
  66. |        1                     Bergstra�e |
  67. |        1                     Bergstra�e |
  68. |        1                     Bergstra�e |
  69. |        1                     Bergstra�e |
  70. |        1                     Bergstra�e |
      |-----------------------------------------|
  71. |        1                     Bergstra�e |
  72. |        1                     Bergstra�e |
  73. |        1                     Bergstra�e |
  74. |        1                     Bergstra�e |
  75. |        1                     Bergstra�e |
      |-----------------------------------------|
  76. |        1                     Bergstra�e |
  77. |        1                     Bergstra�e |
  78. |        1                     Bergstra�e |
  79. |        1                     Bergstra�e |
  80. |        1                     Bergstra�e |
      |-----------------------------------------|
  81. |        1                     Bergstra�e |
  82. |        1                     Bergstra�e |
  83. |        1                     Bergstra�e |
  84. |        1                     Bergstra�e |
  85. |        1                     Bergstra�e |
      |-----------------------------------------|
  86. |        1                     Bergstra�e |
  87. |        1                     Bergstra�e |
  88. |        1                     Bergstra�e |
  89. |        1                     Bergstra�e |
  90. |        1                     Bergstra�e |
      |-----------------------------------------|
  91. |        1                     Bergstra�e |
  92. |        1                     Bergstra�e |
  93. |        1                     Bergstra�e |
  94. |        1                     Bergstra�e |
  95. |        1                     Bergstra�e |
      |-----------------------------------------|
  96. |        1                     Bergstra�e |
  97. |        1                     Bergstra�e |
  98. |        1                     Bergstra�e |
  99. |        1                     Bergstra�e |
 100. |        1                     Bergstra�e |
      |-----------------------------------------|
 101. |        1                     Bergstra�e |
 102. |        1                     Bergstra�e |
 103. |        1                     Bergstra�e |
 104. |        1                     Bergstra�e |
 105. |        1                     Bergstra�e |
      |-----------------------------------------|
 106. |        1                     Bergstra�e |
 107. |        1                     Bergstra�e |
 108. |        1                     Bergstra�e |
 109. |        1                     Bergstra�e |
 110. |        1                     Bergstra�e |
      |-----------------------------------------|
 111. |        1                     Bergstra�e |
 112. |        1                     Bergstra�e |
 113. |        1                     Bergstra�e |
 114. |        1                     Bergstra�e |
 115. |        1                     Bergstra�e |
      |-----------------------------------------|
 116. |        1                     Bergstra�e |
 117. |        1                     Bergstra�e |
 118. |        1                     Bergstra�e |
 119. |        1                     Bergstra�e |
 120. |        1                     Bergstra�e |
      |-----------------------------------------|
 121. |        1                     Bergstra�e |
 122. |        1                     Bergstra�e |
 123. |        1                     Bergstra�e |
 124. |        1                     Bergstra�e |
 125. |        1                     Bergstra�e |
      |-----------------------------------------|
 126. |        2              Darmstadt-Dieburg |
 127. |        2              Darmstadt-Dieburg |
 128. |        2              Darmstadt-Dieburg |
 129. |        2              Darmstadt-Dieburg |
 130. |        2              Darmstadt-Dieburg |
      |-----------------------------------------|
 131. |        2              Darmstadt-Dieburg |
 132. |        2              Darmstadt-Dieburg |
 133. |        2              Darmstadt-Dieburg |
 134. |        2              Darmstadt-Dieburg |
 135. |        2              Darmstadt-Dieburg |
      |-----------------------------------------|
 136. |        2              Darmstadt-Dieburg |
 137. |        2              Darmstadt-Dieburg |
 138. |        2              Darmstadt-Dieburg |
 139. |        2              Darmstadt-Dieburg |
 140. |        2              Darmstadt-Dieburg |
      |-----------------------------------------|
 141. |        2              Darmstadt-Dieburg |
 142. |        2              Darmstadt-Dieburg |
 143. |        2              Darmstadt-Dieburg |
 144. |        2              Darmstadt-Dieburg |
 145. |        2              Darmstadt-Dieburg |
      |-----------------------------------------|
 146. |        2              Darmstadt-Dieburg |
 147. |        2              Darmstadt-Dieburg |
 148. |        2              Darmstadt-Dieburg |
 149. |        2              Darmstadt-Dieburg |
 150. |        2              Darmstadt-Dieburg |
      |-----------------------------------------|
 151. |        2              Darmstadt-Dieburg |
 152. |        2              Darmstadt-Dieburg |
 153. |        2              Darmstadt-Dieburg |
 154. |        2              Darmstadt-Dieburg |
 155. |        2              Darmstadt-Dieburg |
      |-----------------------------------------|
 156. |        2              Darmstadt-Dieburg |
 157. |        2              Darmstadt-Dieburg |
 158. |        2              Darmstadt-Dieburg |
 159. |        2              Darmstadt-Dieburg |
 160. |        2              Darmstadt-Dieburg |
      |-----------------------------------------|
 161. |        2              Darmstadt-Dieburg |
 162. |        2              Darmstadt-Dieburg |
 163. |        2              Darmstadt-Dieburg |
 164. |        2              Darmstadt-Dieburg |
 165. |        2              Darmstadt-Dieburg |
      |-----------------------------------------|
 166. |        2              Darmstadt-Dieburg |
 167. |        2              Darmstadt-Dieburg |
 168. |        2              Darmstadt-Dieburg |
 169. |        2              Darmstadt-Dieburg |
 170. |        2              Darmstadt-Dieburg |
      |-----------------------------------------|
 171. |        2              Darmstadt-Dieburg |
 172. |        2              Darmstadt-Dieburg |
 173. |        2              Darmstadt-Dieburg |
 174. |        2              Darmstadt-Dieburg |
 175. |        2              Darmstadt-Dieburg |
      |-----------------------------------------|
 176. |        2              Darmstadt-Dieburg |
 177. |        2              Darmstadt-Dieburg |
 178. |        2              Darmstadt-Dieburg |
 179. |        2              Darmstadt-Dieburg |
 180. |        2              Darmstadt-Dieburg |
      |-----------------------------------------|
 181. |        2              Darmstadt-Dieburg |
 182. |        2              Darmstadt-Dieburg |
 183. |        2              Darmstadt-Dieburg |
 184. |        2              Darmstadt-Dieburg |
 185. |        2              Darmstadt-Dieburg |
      |-----------------------------------------|
 186. |        2              Darmstadt-Dieburg |
 187. |        2              Darmstadt-Dieburg |
 188. |        2              Darmstadt-Dieburg |
 189. |        2              Darmstadt-Dieburg |
 190. |        2              Darmstadt-Dieburg |
      |-----------------------------------------|
 191. |        2              Darmstadt-Dieburg |
 192. |        2              Darmstadt-Dieburg |
 193. |        2              Darmstadt-Dieburg |
 194. |        2              Darmstadt-Dieburg |
 195. |        2              Darmstadt-Dieburg |
      |-----------------------------------------|
 196. |        2              Darmstadt-Dieburg |
 197. |        2              Darmstadt-Dieburg |
 198. |        2              Darmstadt-Dieburg |
 199. |        2              Darmstadt-Dieburg |
 200. |        2              Darmstadt-Dieburg |
      |-----------------------------------------|
 201. |        2              Darmstadt-Dieburg |
 202. |        2              Darmstadt-Dieburg |
 203. |        2              Darmstadt-Dieburg |
 204. |        2              Darmstadt-Dieburg |
 205. |        2              Darmstadt-Dieburg |
      |-----------------------------------------|
 206. |        2              Darmstadt-Dieburg |
 207. |        2              Darmstadt-Dieburg |
 208. |        2              Darmstadt-Dieburg |
 209. |        2              Darmstadt-Dieburg |
 210. |        2              Darmstadt-Dieburg |
      |-----------------------------------------|
 211. |        2              Darmstadt-Dieburg |
 212. |        2              Darmstadt-Dieburg |
 213. |        2              Darmstadt-Dieburg |
 214. |        2              Darmstadt-Dieburg |
 215. |        2              Darmstadt-Dieburg |
      |-----------------------------------------|
 216. |        2              Darmstadt-Dieburg |
 217. |        2              Darmstadt-Dieburg |
 218. |        2              Darmstadt-Dieburg |
 219. |        2              Darmstadt-Dieburg |
 220. |        2              Darmstadt-Dieburg |
      |-----------------------------------------|
 221. |        2              Darmstadt-Dieburg |
 222. |        2              Darmstadt-Dieburg |
 223. |        2              Darmstadt-Dieburg |
 224. |        2              Darmstadt-Dieburg |
 225. |        2              Darmstadt-Dieburg |
      |-----------------------------------------|
 226. |        2              Darmstadt-Dieburg |
 227. |        2              Darmstadt-Dieburg |
 228. |        2              Darmstadt-Dieburg |
 229. |        2              Darmstadt-Dieburg |
 230. |        2              Darmstadt-Dieburg |
      |-----------------------------------------|
 231. |        2              Darmstadt-Dieburg |
 232. |        2              Darmstadt-Dieburg |
 233. |        2              Darmstadt-Dieburg |
 234. |        2              Darmstadt-Dieburg |
 235. |        2              Darmstadt-Dieburg |
      |-----------------------------------------|
 236. |        2              Darmstadt-Dieburg |
 237. |        2              Darmstadt-Dieburg |
 238. |        2              Darmstadt-Dieburg |
 239. |        2              Darmstadt-Dieburg |
 240. |        2              Darmstadt-Dieburg |
      |-----------------------------------------|
 241. |        2              Darmstadt-Dieburg |
 242. |        2              Darmstadt-Dieburg |
 243. |        2              Darmstadt-Dieburg |
 244. |        2              Darmstadt-Dieburg |
 245. |        2              Darmstadt-Dieburg |
      |-----------------------------------------|
 246. |        2              Darmstadt-Dieburg |
 247. |        2              Darmstadt-Dieburg |
 248. |        2              Darmstadt-Dieburg |
 249. |        2              Darmstadt-Dieburg |
 250. |        2              Darmstadt-Dieburg |
      |-----------------------------------------|
 251. |        2              Darmstadt-Dieburg |
 252. |        2              Darmstadt-Dieburg |
 253. |        2              Darmstadt-Dieburg |
 254. |        2              Darmstadt-Dieburg |
 255. |        2              Darmstadt-Dieburg |
      |-----------------------------------------|
 256. |        3                          Fulda |
 257. |        3                          Fulda |
 258. |        3                          Fulda |
 259. |        3                          Fulda |
 260. |        3                          Fulda |
      |-----------------------------------------|
 261. |        3                          Fulda |
 262. |        3                          Fulda |
 263. |        3                          Fulda |
 264. |        3                          Fulda |
 265. |        3                          Fulda |
      |-----------------------------------------|
 266. |        3                          Fulda |
 267. |        3                          Fulda |
 268. |        3                          Fulda |
 269. |        3                          Fulda |
 270. |        3                          Fulda |
      |-----------------------------------------|
 271. |        3                          Fulda |
 272. |        3                          Fulda |
 273. |        3                          Fulda |
 274. |        3                          Fulda |
 275. |        3                          Fulda |
      |-----------------------------------------|
 276. |        3                          Fulda |
 277. |        3                          Fulda |
 278. |        3                          Fulda |
 279. |        3                          Fulda |
 280. |        3                          Fulda |
      |-----------------------------------------|
 281. |        3                          Fulda |
 282. |        3                          Fulda |
 283. |        3                          Fulda |
 284. |        3                          Fulda |
 285. |        3                          Fulda |
      |-----------------------------------------|
 286. |        3                          Fulda |
 287. |        3                          Fulda |
 288. |        3                          Fulda |
 289. |        3                          Fulda |
 290. |        3                          Fulda |
      |-----------------------------------------|
 291. |        3                          Fulda |
 292. |        3                          Fulda |
 293. |        3                          Fulda |
 294. |        3                          Fulda |
 295. |        3                          Fulda |
      |-----------------------------------------|
 296. |        3                          Fulda |
 297. |        3                          Fulda |
 298. |        3                          Fulda |
 299. |        3                          Fulda |
 300. |        3                          Fulda |
      |-----------------------------------------|
 301. |        3                          Fulda |
 302. |        3                          Fulda |
 303. |        3                          Fulda |
 304. |        3                          Fulda |
 305. |        3                          Fulda |
      |-----------------------------------------|
 306. |        3                          Fulda |
 307. |        3                          Fulda |
 308. |        3                          Fulda |
 309. |        3                          Fulda |
 310. |        3                          Fulda |
      |-----------------------------------------|
 311. |        3                          Fulda |
 312. |        3                          Fulda |
 313. |        3                          Fulda |
 314. |        3                          Fulda |
 315. |        3                          Fulda |
      |-----------------------------------------|
 316. |        3                          Fulda |
 317. |        3                          Fulda |
 318. |        3                          Fulda |
 319. |        3                          Fulda |
 320. |        3                          Fulda |
      |-----------------------------------------|
 321. |        3                          Fulda |
 322. |        3                          Fulda |
 323. |        3                          Fulda |
 324. |        3                          Fulda |
 325. |        3                          Fulda |
      |-----------------------------------------|
 326. |        3                          Fulda |
 327. |        3                          Fulda |
 328. |        3                          Fulda |
 329. |        3                          Fulda |
 330. |        3                          Fulda |
      |-----------------------------------------|
 331. |        3                          Fulda |
 332. |        3                          Fulda |
 333. |        3                          Fulda |
 334. |        3                          Fulda |
 335. |        3                          Fulda |
      |-----------------------------------------|
 336. |        3                          Fulda |
 337. |        3                          Fulda |
 338. |        3                          Fulda |
 339. |        3                          Fulda |
 340. |        3                          Fulda |
      |-----------------------------------------|
 341. |        3                          Fulda |
 342. |        3                          Fulda |
 343. |        3                          Fulda |
 344. |        3                          Fulda |
 345. |        3                          Fulda |
      |-----------------------------------------|
 346. |        3                          Fulda |
 347. |        3                          Fulda |
 348. |        3                          Fulda |
 349. |        3                          Fulda |
 350. |        3                          Fulda |
      |-----------------------------------------|
 351. |        3                          Fulda |
 352. |        3                          Fulda |
 353. |        3                          Fulda |
 354. |        3                          Fulda |
 355. |        3                          Fulda |
      |-----------------------------------------|
 356. |        3                          Fulda |
 357. |        3                          Fulda |
 358. |        3                          Fulda |
 359. |        3                          Fulda |
 360. |        3                          Fulda |
      |-----------------------------------------|
 361. |        3                          Fulda |
 362. |        3                          Fulda |
 363. |        3                          Fulda |
 364. |        3                          Fulda |
 365. |        3                          Fulda |
      |-----------------------------------------|
 366. |        3                          Fulda |
 367. |        3                          Fulda |
 368. |        3                          Fulda |
 369. |        3                          Fulda |
 370. |        3                          Fulda |
      |-----------------------------------------|
 371. |        3                          Fulda |
 372. |        4                         Gie�en |
 373. |        4                         Gie�en |
 374. |        4                         Gie�en |
 375. |        4                         Gie�en |
      |-----------------------------------------|
 376. |        4                         Gie�en |
 377. |        4                         Gie�en |
 378. |        4                         Gie�en |
 379. |        4                         Gie�en |
 380. |        4                         Gie�en |
      |-----------------------------------------|
 381. |        4                         Gie�en |
 382. |        4                         Gie�en |
 383. |        4                         Gie�en |
 384. |        4                         Gie�en |
 385. |        4                         Gie�en |
      |-----------------------------------------|
 386. |        4                         Gie�en |
 387. |        4                         Gie�en |
 388. |        4                         Gie�en |
 389. |        4                         Gie�en |
 390. |        4                         Gie�en |
      |-----------------------------------------|
 391. |        4                         Gie�en |
 392. |        4                         Gie�en |
 393. |        4                         Gie�en |
 394. |        4                         Gie�en |
 395. |        4                         Gie�en |
      |-----------------------------------------|
 396. |        4                         Gie�en |
 397. |        4                         Gie�en |
 398. |        4                         Gie�en |
 399. |        4                         Gie�en |
 400. |        4                         Gie�en |
      |-----------------------------------------|
 401. |        4                         Gie�en |
 402. |        4                         Gie�en |
 403. |        4                         Gie�en |
 404. |        4                         Gie�en |
 405. |        4                         Gie�en |
      |-----------------------------------------|
 406. |        4                         Gie�en |
 407. |        4                         Gie�en |
 408. |        4                         Gie�en |
 409. |        4                         Gie�en |
 410. |        4                         Gie�en |
      |-----------------------------------------|
 411. |        4                         Gie�en |
 412. |        4                         Gie�en |
 413. |        4                         Gie�en |
 414. |        4                         Gie�en |
 415. |        4                         Gie�en |
      |-----------------------------------------|
 416. |        4                         Gie�en |
 417. |        4                         Gie�en |
 418. |        4                         Gie�en |
 419. |        4                         Gie�en |
 420. |        4                         Gie�en |
      |-----------------------------------------|
 421. |        4                         Gie�en |
 422. |        4                         Gie�en |
 423. |        4                         Gie�en |
 424. |        4                         Gie�en |
 425. |        4                         Gie�en |
      |-----------------------------------------|
 426. |        4                         Gie�en |
 427. |        4                         Gie�en |
 428. |        4                         Gie�en |
 429. |        4                         Gie�en |
 430. |        4                         Gie�en |
      |-----------------------------------------|
 431. |        4                         Gie�en |
 432. |        4                         Gie�en |
 433. |        4                         Gie�en |
 434. |        4                         Gie�en |
 435. |        4                         Gie�en |
      |-----------------------------------------|
 436. |        4                         Gie�en |
 437. |        4                         Gie�en |
 438. |        4                         Gie�en |
 439. |        4                         Gie�en |
 440. |        4                         Gie�en |
      |-----------------------------------------|
 441. |        4                         Gie�en |
 442. |        4                         Gie�en |
 443. |        4                         Gie�en |
 444. |        4                         Gie�en |
 445. |        4                         Gie�en |
      |-----------------------------------------|
 446. |        4                         Gie�en |
 447. |        4                         Gie�en |
 448. |        4                         Gie�en |
 449. |        4                         Gie�en |
 450. |        4                         Gie�en |
      |-----------------------------------------|
 451. |        4                         Gie�en |
 452. |        4                         Gie�en |
 453. |        4                         Gie�en |
 454. |        4                         Gie�en |
 455. |        4                         Gie�en |
      |-----------------------------------------|
 456. |        4                         Gie�en |
 457. |        4                         Gie�en |
 458. |        4                         Gie�en |
 459. |        4                         Gie�en |
 460. |        4                         Gie�en |
      |-----------------------------------------|
 461. |        4                         Gie�en |
 462. |        4                         Gie�en |
 463. |        4                         Gie�en |
 464. |        4                         Gie�en |
 465. |        4                         Gie�en |
      |-----------------------------------------|
 466. |        4                         Gie�en |
 467. |        4                         Gie�en |
 468. |        4                         Gie�en |
 469. |        4                         Gie�en |
 470. |        4                         Gie�en |
      |-----------------------------------------|
 471. |        4                         Gie�en |
 472. |        4                         Gie�en |
 473. |        4                         Gie�en |
 474. |        5                     Gro�-Gerau |
 475. |        5                     Gro�-Gerau |
      |-----------------------------------------|
 476. |        5                     Gro�-Gerau |
 477. |        5                     Gro�-Gerau |
 478. |        5                     Gro�-Gerau |
 479. |        5                     Gro�-Gerau |
 480. |        5                     Gro�-Gerau |
      |-----------------------------------------|
 481. |        5                     Gro�-Gerau |
 482. |        5                     Gro�-Gerau |
 483. |        5                     Gro�-Gerau |
 484. |        5                     Gro�-Gerau |
 485. |        5                     Gro�-Gerau |
      |-----------------------------------------|
 486. |        5                     Gro�-Gerau |
 487. |        5                     Gro�-Gerau |
 488. |        5                     Gro�-Gerau |
 489. |        5                     Gro�-Gerau |
 490. |        5                     Gro�-Gerau |
      |-----------------------------------------|
 491. |        5                     Gro�-Gerau |
 492. |        5                     Gro�-Gerau |
 493. |        5                     Gro�-Gerau |
 494. |        5                     Gro�-Gerau |
 495. |        5                     Gro�-Gerau |
      |-----------------------------------------|
 496. |        5                     Gro�-Gerau |
 497. |        5                     Gro�-Gerau |
 498. |        5                     Gro�-Gerau |
 499. |        5                     Gro�-Gerau |
 500. |        5                     Gro�-Gerau |
      |-----------------------------------------|
 501. |        5                     Gro�-Gerau |
 502. |        5                     Gro�-Gerau |
 503. |        5                     Gro�-Gerau |
 504. |        5                     Gro�-Gerau |
 505. |        5                     Gro�-Gerau |
      |-----------------------------------------|
 506. |        5                     Gro�-Gerau |
 507. |        5                     Gro�-Gerau |
 508. |        5                     Gro�-Gerau |
 509. |        5                     Gro�-Gerau |
 510. |        5                     Gro�-Gerau |
      |-----------------------------------------|
 511. |        5                     Gro�-Gerau |
 512. |        5                     Gro�-Gerau |
 513. |        5                     Gro�-Gerau |
 514. |        5                     Gro�-Gerau |
 515. |        5                     Gro�-Gerau |
      |-----------------------------------------|
 516. |        5                     Gro�-Gerau |
 517. |        5                     Gro�-Gerau |
 518. |        5                     Gro�-Gerau |
 519. |        5                     Gro�-Gerau |
 520. |        5                     Gro�-Gerau |
      |-----------------------------------------|
 521. |        5                     Gro�-Gerau |
 522. |        5                     Gro�-Gerau |
 523. |        5                     Gro�-Gerau |
 524. |        5                     Gro�-Gerau |
 525. |        5                     Gro�-Gerau |
      |-----------------------------------------|
 526. |        5                     Gro�-Gerau |
 527. |        5                     Gro�-Gerau |
 528. |        5                     Gro�-Gerau |
 529. |        5                     Gro�-Gerau |
 530. |        5                     Gro�-Gerau |
      |-----------------------------------------|
 531. |        5                     Gro�-Gerau |
 532. |        5                     Gro�-Gerau |
 533. |        5                     Gro�-Gerau |
 534. |        5                     Gro�-Gerau |
 535. |        5                     Gro�-Gerau |
      |-----------------------------------------|
 536. |        5                     Gro�-Gerau |
 537. |        5                     Gro�-Gerau |
 538. |        5                     Gro�-Gerau |
 539. |        5                     Gro�-Gerau |
 540. |        5                     Gro�-Gerau |
      |-----------------------------------------|
 541. |        5                     Gro�-Gerau |
 542. |        5                     Gro�-Gerau |
 543. |        5                     Gro�-Gerau |
 544. |        5                     Gro�-Gerau |
 545. |        5                     Gro�-Gerau |
      |-----------------------------------------|
 546. |        5                     Gro�-Gerau |
 547. |        5                     Gro�-Gerau |
 548. |        5                     Gro�-Gerau |
 549. |        5                     Gro�-Gerau |
 550. |        5                     Gro�-Gerau |
      |-----------------------------------------|
 551. |        5                     Gro�-Gerau |
 552. |        5                     Gro�-Gerau |
 553. |        5                     Gro�-Gerau |
 554. |        5                     Gro�-Gerau |
 555. |        5                     Gro�-Gerau |
      |-----------------------------------------|
 556. |        5                     Gro�-Gerau |
 557. |        5                     Gro�-Gerau |
 558. |        5                     Gro�-Gerau |
 559. |        5                     Gro�-Gerau |
 560. |        5                     Gro�-Gerau |
      |-----------------------------------------|
 561. |        5                     Gro�-Gerau |
 562. |        5                     Gro�-Gerau |
 563. |        5                     Gro�-Gerau |
 564. |        5                     Gro�-Gerau |
 565. |        6             Hersfeld-Rotenburg |
      |-----------------------------------------|
 566. |        6             Hersfeld-Rotenburg |
 567. |        6             Hersfeld-Rotenburg |
 568. |        6             Hersfeld-Rotenburg |
 569. |        6             Hersfeld-Rotenburg |
 570. |        6             Hersfeld-Rotenburg |
      |-----------------------------------------|
 571. |        6             Hersfeld-Rotenburg |
 572. |        6             Hersfeld-Rotenburg |
 573. |        6             Hersfeld-Rotenburg |
 574. |        6             Hersfeld-Rotenburg |
 575. |        6             Hersfeld-Rotenburg |
      |-----------------------------------------|
 576. |        6             Hersfeld-Rotenburg |
 577. |        6             Hersfeld-Rotenburg |
 578. |        6             Hersfeld-Rotenburg |
 579. |        6             Hersfeld-Rotenburg |
 580. |        6             Hersfeld-Rotenburg |
      |-----------------------------------------|
 581. |        6             Hersfeld-Rotenburg |
 582. |        6             Hersfeld-Rotenburg |
 583. |        6             Hersfeld-Rotenburg |
 584. |        6             Hersfeld-Rotenburg |
 585. |        6             Hersfeld-Rotenburg |
      |-----------------------------------------|
 586. |        6             Hersfeld-Rotenburg |
 587. |        6             Hersfeld-Rotenburg |
 588. |        6             Hersfeld-Rotenburg |
 589. |        6             Hersfeld-Rotenburg |
 590. |        6             Hersfeld-Rotenburg |
      |-----------------------------------------|
 591. |        6             Hersfeld-Rotenburg |
 592. |        6             Hersfeld-Rotenburg |
 593. |        6             Hersfeld-Rotenburg |
 594. |        6             Hersfeld-Rotenburg |
 595. |        6             Hersfeld-Rotenburg |
      |-----------------------------------------|
 596. |        6             Hersfeld-Rotenburg |
 597. |        6             Hersfeld-Rotenburg |
 598. |        6             Hersfeld-Rotenburg |
 599. |        6             Hersfeld-Rotenburg |
 600. |        6             Hersfeld-Rotenburg |
      |-----------------------------------------|
 601. |        6             Hersfeld-Rotenburg |
 602. |        6             Hersfeld-Rotenburg |
 603. |        6             Hersfeld-Rotenburg |
 604. |        6             Hersfeld-Rotenburg |
 605. |        6             Hersfeld-Rotenburg |
      |-----------------------------------------|
 606. |        6             Hersfeld-Rotenburg |
 607. |        6             Hersfeld-Rotenburg |
 608. |        6             Hersfeld-Rotenburg |
 609. |        6             Hersfeld-Rotenburg |
 610. |        6             Hersfeld-Rotenburg |
      |-----------------------------------------|
 611. |        6             Hersfeld-Rotenburg |
 612. |        6             Hersfeld-Rotenburg |
 613. |        6             Hersfeld-Rotenburg |
 614. |        6             Hersfeld-Rotenburg |
 615. |        6             Hersfeld-Rotenburg |
      |-----------------------------------------|
 616. |        6             Hersfeld-Rotenburg |
 617. |        6             Hersfeld-Rotenburg |
 618. |        6             Hersfeld-Rotenburg |
 619. |        6             Hersfeld-Rotenburg |
 620. |        6             Hersfeld-Rotenburg |
      |-----------------------------------------|
 621. |        6             Hersfeld-Rotenburg |
 622. |        6             Hersfeld-Rotenburg |
 623. |        6             Hersfeld-Rotenburg |
 624. |        6             Hersfeld-Rotenburg |
 625. |        6             Hersfeld-Rotenburg |
      |-----------------------------------------|
 626. |        6             Hersfeld-Rotenburg |
 627. |        6             Hersfeld-Rotenburg |
 628. |        6             Hersfeld-Rotenburg |
 629. |        6             Hersfeld-Rotenburg |
 630. |        6             Hersfeld-Rotenburg |
      |-----------------------------------------|
 631. |        6             Hersfeld-Rotenburg |
 632. |        6             Hersfeld-Rotenburg |
 633. |        6             Hersfeld-Rotenburg |
 634. |        6             Hersfeld-Rotenburg |
 635. |        6             Hersfeld-Rotenburg |
      |-----------------------------------------|
 636. |        6             Hersfeld-Rotenburg |
 637. |        6             Hersfeld-Rotenburg |
 638. |        6             Hersfeld-Rotenburg |
 639. |        6             Hersfeld-Rotenburg |
 640. |        6             Hersfeld-Rotenburg |
      |-----------------------------------------|
 641. |        6             Hersfeld-Rotenburg |
 642. |        6             Hersfeld-Rotenburg |
 643. |        6             Hersfeld-Rotenburg |
 644. |        6             Hersfeld-Rotenburg |
 645. |        6             Hersfeld-Rotenburg |
      |-----------------------------------------|
 646. |        6             Hersfeld-Rotenburg |
 647. |        6             Hersfeld-Rotenburg |
 648. |        6             Hersfeld-Rotenburg |
 649. |        6             Hersfeld-Rotenburg |
 650. |        6             Hersfeld-Rotenburg |
      |-----------------------------------------|
 651. |        6             Hersfeld-Rotenburg |
 652. |        6             Hersfeld-Rotenburg |
 653. |        6             Hersfeld-Rotenburg |
 654. |        6             Hersfeld-Rotenburg |
 655. |        6             Hersfeld-Rotenburg |
      |-----------------------------------------|
 656. |        6             Hersfeld-Rotenburg |
 657. |        6             Hersfeld-Rotenburg |
 658. |        6             Hersfeld-Rotenburg |
 659. |        6             Hersfeld-Rotenburg |
 660. |        6             Hersfeld-Rotenburg |
      |-----------------------------------------|
 661. |        6             Hersfeld-Rotenburg |
 662. |        6             Hersfeld-Rotenburg |
 663. |        6             Hersfeld-Rotenburg |
 664. |        6             Hersfeld-Rotenburg |
 665. |        6             Hersfeld-Rotenburg |
      |-----------------------------------------|
 666. |        6             Hersfeld-Rotenburg |
 667. |        6             Hersfeld-Rotenburg |
 668. |        6             Hersfeld-Rotenburg |
 669. |        6             Hersfeld-Rotenburg |
 670. |        6             Hersfeld-Rotenburg |
      |-----------------------------------------|
 671. |        6             Hersfeld-Rotenburg |
 672. |        6             Hersfeld-Rotenburg |
 673. |        6             Hersfeld-Rotenburg |
 674. |        6             Hersfeld-Rotenburg |
 675. |        6             Hersfeld-Rotenburg |
      |-----------------------------------------|
 676. |        7                Hochtaunuskreis |
 677. |        7                Hochtaunuskreis |
 678. |        7                Hochtaunuskreis |
 679. |        7                Hochtaunuskreis |
 680. |        7                Hochtaunuskreis |
      |-----------------------------------------|
 681. |        7                Hochtaunuskreis |
 682. |        7                Hochtaunuskreis |
 683. |        7                Hochtaunuskreis |
 684. |        7                Hochtaunuskreis |
 685. |        7                Hochtaunuskreis |
      |-----------------------------------------|
 686. |        7                Hochtaunuskreis |
 687. |        7                Hochtaunuskreis |
 688. |        7                Hochtaunuskreis |
 689. |        7                Hochtaunuskreis |
 690. |        7                Hochtaunuskreis |
      |-----------------------------------------|
 691. |        7                Hochtaunuskreis |
 692. |        7                Hochtaunuskreis |
 693. |        7                Hochtaunuskreis |
 694. |        7                Hochtaunuskreis |
 695. |        7                Hochtaunuskreis |
      |-----------------------------------------|
 696. |        7                Hochtaunuskreis |
 697. |        7                Hochtaunuskreis |
 698. |        7                Hochtaunuskreis |
 699. |        7                Hochtaunuskreis |
 700. |        7                Hochtaunuskreis |
      |-----------------------------------------|
 701. |        7                Hochtaunuskreis |
 702. |        7                Hochtaunuskreis |
 703. |        7                Hochtaunuskreis |
 704. |        7                Hochtaunuskreis |
 705. |        7                Hochtaunuskreis |
      |-----------------------------------------|
 706. |        7                Hochtaunuskreis |
 707. |        7                Hochtaunuskreis |
 708. |        7                Hochtaunuskreis |
 709. |        7                Hochtaunuskreis |
 710. |        7                Hochtaunuskreis |
      |-----------------------------------------|
 711. |        7                Hochtaunuskreis |
 712. |        7                Hochtaunuskreis |
 713. |        7                Hochtaunuskreis |
 714. |        7                Hochtaunuskreis |
 715. |        7                Hochtaunuskreis |
      |-----------------------------------------|
 716. |        7                Hochtaunuskreis |
 717. |        7                Hochtaunuskreis |
 718. |        7                Hochtaunuskreis |
 719. |        7                Hochtaunuskreis |
 720. |        7                Hochtaunuskreis |
      |-----------------------------------------|
 721. |        7                Hochtaunuskreis |
 722. |        7                Hochtaunuskreis |
 723. |        7                Hochtaunuskreis |
 724. |        7                Hochtaunuskreis |
 725. |        7                Hochtaunuskreis |
      |-----------------------------------------|
 726. |        7                Hochtaunuskreis |
 727. |        7                Hochtaunuskreis |
 728. |        7                Hochtaunuskreis |
 729. |        7                Hochtaunuskreis |
 730. |        7                Hochtaunuskreis |
      |-----------------------------------------|
 731. |        7                Hochtaunuskreis |
 732. |        7                Hochtaunuskreis |
 733. |        7                Hochtaunuskreis |
 734. |        7                Hochtaunuskreis |
 735. |        7                Hochtaunuskreis |
      |-----------------------------------------|
 736. |        7                Hochtaunuskreis |
 737. |        7                Hochtaunuskreis |
 738. |        7                Hochtaunuskreis |
 739. |        7                Hochtaunuskreis |
 740. |        7                Hochtaunuskreis |
      |-----------------------------------------|
 741. |        7                Hochtaunuskreis |
 742. |        7                Hochtaunuskreis |
 743. |        7                Hochtaunuskreis |
 744. |        7                Hochtaunuskreis |
 745. |        7                Hochtaunuskreis |
      |-----------------------------------------|
 746. |        7                Hochtaunuskreis |
 747. |        7                Hochtaunuskreis |
 748. |        7                Hochtaunuskreis |
 749. |        7                Hochtaunuskreis |
 750. |        7                Hochtaunuskreis |
      |-----------------------------------------|
 751. |        7                Hochtaunuskreis |
 752. |        7                Hochtaunuskreis |
 753. |        7                Hochtaunuskreis |
 754. |        7                Hochtaunuskreis |
 755. |        7                Hochtaunuskreis |
      |-----------------------------------------|
 756. |        7                Hochtaunuskreis |
 757. |        7                Hochtaunuskreis |
 758. |        8                         Kassel |
 759. |        8                         Kassel |
 760. |        8                         Kassel |
      |-----------------------------------------|
 761. |        8                         Kassel |
 762. |        8                         Kassel |
 763. |        8                         Kassel |
 764. |        8                         Kassel |
 765. |        8                         Kassel |
      |-----------------------------------------|
 766. |        8                         Kassel |
 767. |        8                         Kassel |
 768. |        8                         Kassel |
 769. |        8                         Kassel |
 770. |        8                         Kassel |
      |-----------------------------------------|
 771. |        8                         Kassel |
 772. |        8                         Kassel |
 773. |        8                         Kassel |
 774. |        8                         Kassel |
 775. |        8                         Kassel |
      |-----------------------------------------|
 776. |        8                         Kassel |
 777. |        8                         Kassel |
 778. |        8                         Kassel |
 779. |        8                         Kassel |
 780. |        8                         Kassel |
      |-----------------------------------------|
 781. |        8                         Kassel |
 782. |        8                         Kassel |
 783. |        8                         Kassel |
 784. |        8                         Kassel |
 785. |        8                         Kassel |
      |-----------------------------------------|
 786. |        8                         Kassel |
 787. |        8                         Kassel |
 788. |        8                         Kassel |
 789. |        8                         Kassel |
 790. |        8                         Kassel |
      |-----------------------------------------|
 791. |        8                         Kassel |
 792. |        8                         Kassel |
 793. |        8                         Kassel |
 794. |        8                         Kassel |
 795. |        8                         Kassel |
      |-----------------------------------------|
 796. |        8                         Kassel |
 797. |        8                         Kassel |
 798. |        8                         Kassel |
 799. |        8                         Kassel |
 800. |        8                         Kassel |
      |-----------------------------------------|
 801. |        8                         Kassel |
 802. |        8                         Kassel |
 803. |        8                         Kassel |
 804. |        8                         Kassel |
 805. |        8                         Kassel |
      |-----------------------------------------|
 806. |        8                         Kassel |
 807. |        8                         Kassel |
 808. |        8                         Kassel |
 809. |        8                         Kassel |
 810. |        8                         Kassel |
      |-----------------------------------------|
 811. |        8                         Kassel |
 812. |        8                         Kassel |
 813. |        8                         Kassel |
 814. |        8                         Kassel |
 815. |        8                         Kassel |
      |-----------------------------------------|
 816. |        8                         Kassel |
 817. |        8                         Kassel |
 818. |        8                         Kassel |
 819. |        8                         Kassel |
 820. |        8                         Kassel |
      |-----------------------------------------|
 821. |        8                         Kassel |
 822. |        8                         Kassel |
 823. |        8                         Kassel |
 824. |        8                         Kassel |
 825. |        8                         Kassel |
      |-----------------------------------------|
 826. |        8                         Kassel |
 827. |        8                         Kassel |
 828. |        8                         Kassel |
 829. |        8                         Kassel |
 830. |        8                         Kassel |
      |-----------------------------------------|
 831. |        8                         Kassel |
 832. |        8                         Kassel |
 833. |        8                         Kassel |
 834. |        8                         Kassel |
 835. |        8                         Kassel |
      |-----------------------------------------|
 836. |        8                         Kassel |
 837. |        8                         Kassel |
 838. |        8                         Kassel |
 839. |        8                         Kassel |
 840. |        8                         Kassel |
      |-----------------------------------------|
 841. |        8                         Kassel |
 842. |        8                         Kassel |
 843. |        8                         Kassel |
 844. |        8                         Kassel |
 845. |        8                         Kassel |
      |-----------------------------------------|
 846. |        8                         Kassel |
 847. |        8                         Kassel |
 848. |        8                         Kassel |
 849. |        8                         Kassel |
 850. |        8                         Kassel |
      |-----------------------------------------|
 851. |        8                         Kassel |
 852. |        8                         Kassel |
 853. |        8                         Kassel |
 854. |        8                         Kassel |
 855. |        8                         Kassel |
      |-----------------------------------------|
 856. |        8                         Kassel |
 857. |        8                         Kassel |
 858. |        8                         Kassel |
 859. |        8                         Kassel |
 860. |        8                         Kassel |
      |-----------------------------------------|
 861. |        8                         Kassel |
 862. |        8                         Kassel |
 863. |        8                         Kassel |
 864. |        8                         Kassel |
 865. |        8                         Kassel |
      |-----------------------------------------|
 866. |        8                         Kassel |
 867. |        8                         Kassel |
 868. |        8                         Kassel |
 869. |        8                         Kassel |
 870. |        8                         Kassel |
      |-----------------------------------------|
 871. |        8                         Kassel |
 872. |        8                         Kassel |
 873. |        8                         Kassel |
 874. |        8                         Kassel |
 875. |        8                         Kassel |
      |-----------------------------------------|
 876. |        8                         Kassel |
 877. |        8                         Kassel |
 878. |        8                         Kassel |
 879. |        8                         Kassel |
 880. |        8                         Kassel |
      |-----------------------------------------|
 881. |        8                         Kassel |
 882. |        8                         Kassel |
 883. |        8                         Kassel |
 884. |        8                         Kassel |
 885. |        8                         Kassel |
      |-----------------------------------------|
 886. |        8                         Kassel |
 887. |        8                         Kassel |
 888. |        8                         Kassel |
 889. |        8                         Kassel |
 890. |        8                         Kassel |
      |-----------------------------------------|
 891. |        8                         Kassel |
 892. |        8                         Kassel |
 893. |        8                         Kassel |
 894. |        8                         Kassel |
 895. |        8                         Kassel |
      |-----------------------------------------|
 896. |        8                         Kassel |
 897. |        8                         Kassel |
 898. |        8                         Kassel |
 899. |        8                         Kassel |
 900. |        8                         Kassel |
      |-----------------------------------------|
 901. |        8                         Kassel |
 902. |        8                         Kassel |
 903. |        8                         Kassel |
 904. |        9                Lahn-Dill-Kreis |
 905. |        9                Lahn-Dill-Kreis |
      |-----------------------------------------|
 906. |        9                Lahn-Dill-Kreis |
 907. |        9                Lahn-Dill-Kreis |
 908. |        9                Lahn-Dill-Kreis |
 909. |        9                Lahn-Dill-Kreis |
 910. |        9                Lahn-Dill-Kreis |
      |-----------------------------------------|
 911. |        9                Lahn-Dill-Kreis |
 912. |        9                Lahn-Dill-Kreis |
 913. |        9                Lahn-Dill-Kreis |
 914. |        9                Lahn-Dill-Kreis |
 915. |        9                Lahn-Dill-Kreis |
      |-----------------------------------------|
 916. |        9                Lahn-Dill-Kreis |
 917. |        9                Lahn-Dill-Kreis |
 918. |        9                Lahn-Dill-Kreis |
 919. |        9                Lahn-Dill-Kreis |
 920. |        9                Lahn-Dill-Kreis |
      |-----------------------------------------|
 921. |        9                Lahn-Dill-Kreis |
 922. |        9                Lahn-Dill-Kreis |
 923. |        9                Lahn-Dill-Kreis |
 924. |        9                Lahn-Dill-Kreis |
 925. |        9                Lahn-Dill-Kreis |
      |-----------------------------------------|
 926. |        9                Lahn-Dill-Kreis |
 927. |        9                Lahn-Dill-Kreis |
 928. |        9                Lahn-Dill-Kreis |
 929. |        9                Lahn-Dill-Kreis |
 930. |        9                Lahn-Dill-Kreis |
      |-----------------------------------------|
 931. |        9                Lahn-Dill-Kreis |
 932. |        9                Lahn-Dill-Kreis |
 933. |        9                Lahn-Dill-Kreis |
 934. |        9                Lahn-Dill-Kreis |
 935. |        9                Lahn-Dill-Kreis |
      |-----------------------------------------|
 936. |        9                Lahn-Dill-Kreis |
 937. |        9                Lahn-Dill-Kreis |
 938. |        9                Lahn-Dill-Kreis |
 939. |        9                Lahn-Dill-Kreis |
 940. |        9                Lahn-Dill-Kreis |
      |-----------------------------------------|
 941. |        9                Lahn-Dill-Kreis |
 942. |        9                Lahn-Dill-Kreis |
 943. |        9                Lahn-Dill-Kreis |
 944. |        9                Lahn-Dill-Kreis |
 945. |        9                Lahn-Dill-Kreis |
      |-----------------------------------------|
 946. |        9                Lahn-Dill-Kreis |
 947. |        9                Lahn-Dill-Kreis |
 948. |        9                Lahn-Dill-Kreis |
 949. |        9                Lahn-Dill-Kreis |
 950. |        9                Lahn-Dill-Kreis |
      |-----------------------------------------|
 951. |        9                Lahn-Dill-Kreis |
 952. |        9                Lahn-Dill-Kreis |
 953. |        9                Lahn-Dill-Kreis |
 954. |        9                Lahn-Dill-Kreis |
 955. |        9                Lahn-Dill-Kreis |
      |-----------------------------------------|
 956. |        9                Lahn-Dill-Kreis |
 957. |        9                Lahn-Dill-Kreis |
 958. |        9                Lahn-Dill-Kreis |
 959. |        9                Lahn-Dill-Kreis |
 960. |        9                Lahn-Dill-Kreis |
      |-----------------------------------------|
 961. |        9                Lahn-Dill-Kreis |
 962. |        9                Lahn-Dill-Kreis |
 963. |        9                Lahn-Dill-Kreis |
 964. |        9                Lahn-Dill-Kreis |
 965. |        9                Lahn-Dill-Kreis |
      |-----------------------------------------|
 966. |        9                Lahn-Dill-Kreis |
 967. |        9                Lahn-Dill-Kreis |
 968. |        9                Lahn-Dill-Kreis |
 969. |        9                Lahn-Dill-Kreis |
 970. |        9                Lahn-Dill-Kreis |
      |-----------------------------------------|
 971. |        9                Lahn-Dill-Kreis |
 972. |        9                Lahn-Dill-Kreis |
 973. |        9                Lahn-Dill-Kreis |
 974. |        9                Lahn-Dill-Kreis |
 975. |        9                Lahn-Dill-Kreis |
      |-----------------------------------------|
 976. |        9                Lahn-Dill-Kreis |
 977. |        9                Lahn-Dill-Kreis |
 978. |        9                Lahn-Dill-Kreis |
 979. |        9                Lahn-Dill-Kreis |
 980. |        9                Lahn-Dill-Kreis |
      |-----------------------------------------|
 981. |        9                Lahn-Dill-Kreis |
 982. |        9                Lahn-Dill-Kreis |
 983. |        9                Lahn-Dill-Kreis |
 984. |        9                Lahn-Dill-Kreis |
 985. |        9                Lahn-Dill-Kreis |
      |-----------------------------------------|
 986. |        9                Lahn-Dill-Kreis |
 987. |        9                Lahn-Dill-Kreis |
 988. |        9                Lahn-Dill-Kreis |
 989. |        9                Lahn-Dill-Kreis |
 990. |        9                Lahn-Dill-Kreis |
      |-----------------------------------------|
 991. |        9                Lahn-Dill-Kreis |
 992. |        9                Lahn-Dill-Kreis |
 993. |        9                Lahn-Dill-Kreis |
 994. |        9                Lahn-Dill-Kreis |
 995. |        9                Lahn-Dill-Kreis |
      |-----------------------------------------|
 996. |        9                Lahn-Dill-Kreis |
 997. |        9                Lahn-Dill-Kreis |
 998. |        9                Lahn-Dill-Kreis |
 999. |        9                Lahn-Dill-Kreis |
1000. |        9                Lahn-Dill-Kreis |
      |-----------------------------------------|
1001. |        9                Lahn-Dill-Kreis |
1002. |        9                Lahn-Dill-Kreis |
1003. |        9                Lahn-Dill-Kreis |
1004. |        9                Lahn-Dill-Kreis |
1005. |        9                Lahn-Dill-Kreis |
      |-----------------------------------------|
1006. |        9                Lahn-Dill-Kreis |
1007. |        9                Lahn-Dill-Kreis |
1008. |        9                Lahn-Dill-Kreis |
1009. |        9                Lahn-Dill-Kreis |
1010. |        9                Lahn-Dill-Kreis |
      |-----------------------------------------|
1011. |        9                Lahn-Dill-Kreis |
1012. |        9                Lahn-Dill-Kreis |
1013. |        9                Lahn-Dill-Kreis |
1014. |        9                Lahn-Dill-Kreis |
1015. |        9                Lahn-Dill-Kreis |
      |-----------------------------------------|
1016. |        9                Lahn-Dill-Kreis |
1017. |        9                Lahn-Dill-Kreis |
1018. |        9                Lahn-Dill-Kreis |
1019. |        9                Lahn-Dill-Kreis |
1020. |        9                Lahn-Dill-Kreis |
      |-----------------------------------------|
1021. |        9                Lahn-Dill-Kreis |
1022. |        9                Lahn-Dill-Kreis |
1023. |        9                Lahn-Dill-Kreis |
1024. |        9                Lahn-Dill-Kreis |
1025. |        9                Lahn-Dill-Kreis |
      |-----------------------------------------|
1026. |        9                Lahn-Dill-Kreis |
1027. |        9                Lahn-Dill-Kreis |
1028. |        9                Lahn-Dill-Kreis |
1029. |        9                Lahn-Dill-Kreis |
1030. |        9                Lahn-Dill-Kreis |
      |-----------------------------------------|
1031. |        9                Lahn-Dill-Kreis |
1032. |        9                Lahn-Dill-Kreis |
1033. |        9                Lahn-Dill-Kreis |
1034. |        9                Lahn-Dill-Kreis |
1035. |        9                Lahn-Dill-Kreis |
      |-----------------------------------------|
1036. |        9                Lahn-Dill-Kreis |
1037. |        9                Lahn-Dill-Kreis |
1038. |        9                Lahn-Dill-Kreis |
1039. |        9                Lahn-Dill-Kreis |
1040. |        9                Lahn-Dill-Kreis |
      |-----------------------------------------|
1041. |        9                Lahn-Dill-Kreis |
1042. |        9                Lahn-Dill-Kreis |
1043. |       10               Limburg-Weilburg |
1044. |       10               Limburg-Weilburg |
1045. |       10               Limburg-Weilburg |
      |-----------------------------------------|
1046. |       10               Limburg-Weilburg |
1047. |       10               Limburg-Weilburg |
1048. |       10               Limburg-Weilburg |
1049. |       10               Limburg-Weilburg |
1050. |       10               Limburg-Weilburg |
      |-----------------------------------------|
1051. |       10               Limburg-Weilburg |
1052. |       10               Limburg-Weilburg |
1053. |       10               Limburg-Weilburg |
1054. |       10               Limburg-Weilburg |
1055. |       10               Limburg-Weilburg |
      |-----------------------------------------|
1056. |       10               Limburg-Weilburg |
1057. |       10               Limburg-Weilburg |
1058. |       10               Limburg-Weilburg |
1059. |       10               Limburg-Weilburg |
1060. |       10               Limburg-Weilburg |
      |-----------------------------------------|
1061. |       10               Limburg-Weilburg |
1062. |       10               Limburg-Weilburg |
1063. |       10               Limburg-Weilburg |
1064. |       10               Limburg-Weilburg |
1065. |       10               Limburg-Weilburg |
      |-----------------------------------------|
1066. |       10               Limburg-Weilburg |
1067. |       10               Limburg-Weilburg |
1068. |       10               Limburg-Weilburg |
1069. |       10               Limburg-Weilburg |
1070. |       10               Limburg-Weilburg |
      |-----------------------------------------|
1071. |       10               Limburg-Weilburg |
1072. |       10               Limburg-Weilburg |
1073. |       10               Limburg-Weilburg |
1074. |       10               Limburg-Weilburg |
1075. |       10               Limburg-Weilburg |
      |-----------------------------------------|
1076. |       10               Limburg-Weilburg |
1077. |       10               Limburg-Weilburg |
1078. |       10               Limburg-Weilburg |
1079. |       10               Limburg-Weilburg |
1080. |       10               Limburg-Weilburg |
      |-----------------------------------------|
1081. |       10               Limburg-Weilburg |
1082. |       10               Limburg-Weilburg |
1083. |       10               Limburg-Weilburg |
1084. |       10               Limburg-Weilburg |
1085. |       10               Limburg-Weilburg |
      |-----------------------------------------|
1086. |       10               Limburg-Weilburg |
1087. |       10               Limburg-Weilburg |
1088. |       10               Limburg-Weilburg |
1089. |       10               Limburg-Weilburg |
1090. |       10               Limburg-Weilburg |
      |-----------------------------------------|
1091. |       10               Limburg-Weilburg |
1092. |       10               Limburg-Weilburg |
1093. |       10               Limburg-Weilburg |
1094. |       10               Limburg-Weilburg |
1095. |       10               Limburg-Weilburg |
      |-----------------------------------------|
1096. |       10               Limburg-Weilburg |
1097. |       10               Limburg-Weilburg |
1098. |       10               Limburg-Weilburg |
1099. |       10               Limburg-Weilburg |
1100. |       10               Limburg-Weilburg |
      |-----------------------------------------|
1101. |       10               Limburg-Weilburg |
1102. |       10               Limburg-Weilburg |
1103. |       10               Limburg-Weilburg |
1104. |       10               Limburg-Weilburg |
1105. |       10               Limburg-Weilburg |
      |-----------------------------------------|
1106. |       10               Limburg-Weilburg |
1107. |       10               Limburg-Weilburg |
1108. |       10               Limburg-Weilburg |
1109. |       10               Limburg-Weilburg |
1110. |       10               Limburg-Weilburg |
      |-----------------------------------------|
1111. |       10               Limburg-Weilburg |
1112. |       10               Limburg-Weilburg |
1113. |       10               Limburg-Weilburg |
1114. |       10               Limburg-Weilburg |
1115. |       10               Limburg-Weilburg |
      |-----------------------------------------|
1116. |       10               Limburg-Weilburg |
1117. |       10               Limburg-Weilburg |
1118. |       10               Limburg-Weilburg |
1119. |       10               Limburg-Weilburg |
1120. |       10               Limburg-Weilburg |
      |-----------------------------------------|
1121. |       10               Limburg-Weilburg |
1122. |       10               Limburg-Weilburg |
1123. |       10               Limburg-Weilburg |
1124. |       10               Limburg-Weilburg |
1125. |       10               Limburg-Weilburg |
      |-----------------------------------------|
1126. |       10               Limburg-Weilburg |
1127. |       10               Limburg-Weilburg |
1128. |       10               Limburg-Weilburg |
1129. |       10               Limburg-Weilburg |
1130. |       10               Limburg-Weilburg |
      |-----------------------------------------|
1131. |       10               Limburg-Weilburg |
1132. |       10               Limburg-Weilburg |
1133. |       10               Limburg-Weilburg |
1134. |       10               Limburg-Weilburg |
1135. |       10               Limburg-Weilburg |
      |-----------------------------------------|
1136. |       10               Limburg-Weilburg |
1137. |       10               Limburg-Weilburg |
1138. |       10               Limburg-Weilburg |
1139. |       10               Limburg-Weilburg |
1140. |       10               Limburg-Weilburg |
      |-----------------------------------------|
1141. |       10               Limburg-Weilburg |
1142. |       10               Limburg-Weilburg |
1143. |       10               Limburg-Weilburg |
1144. |       10               Limburg-Weilburg |
1145. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1146. |       11              Main-Kinzig-Kreis |
1147. |       11              Main-Kinzig-Kreis |
1148. |       11              Main-Kinzig-Kreis |
1149. |       11              Main-Kinzig-Kreis |
1150. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1151. |       11              Main-Kinzig-Kreis |
1152. |       11              Main-Kinzig-Kreis |
1153. |       11              Main-Kinzig-Kreis |
1154. |       11              Main-Kinzig-Kreis |
1155. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1156. |       11              Main-Kinzig-Kreis |
1157. |       11              Main-Kinzig-Kreis |
1158. |       11              Main-Kinzig-Kreis |
1159. |       11              Main-Kinzig-Kreis |
1160. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1161. |       11              Main-Kinzig-Kreis |
1162. |       11              Main-Kinzig-Kreis |
1163. |       11              Main-Kinzig-Kreis |
1164. |       11              Main-Kinzig-Kreis |
1165. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1166. |       11              Main-Kinzig-Kreis |
1167. |       11              Main-Kinzig-Kreis |
1168. |       11              Main-Kinzig-Kreis |
1169. |       11              Main-Kinzig-Kreis |
1170. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1171. |       11              Main-Kinzig-Kreis |
1172. |       11              Main-Kinzig-Kreis |
1173. |       11              Main-Kinzig-Kreis |
1174. |       11              Main-Kinzig-Kreis |
1175. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1176. |       11              Main-Kinzig-Kreis |
1177. |       11              Main-Kinzig-Kreis |
1178. |       11              Main-Kinzig-Kreis |
1179. |       11              Main-Kinzig-Kreis |
1180. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1181. |       11              Main-Kinzig-Kreis |
1182. |       11              Main-Kinzig-Kreis |
1183. |       11              Main-Kinzig-Kreis |
1184. |       11              Main-Kinzig-Kreis |
1185. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1186. |       11              Main-Kinzig-Kreis |
1187. |       11              Main-Kinzig-Kreis |
1188. |       11              Main-Kinzig-Kreis |
1189. |       11              Main-Kinzig-Kreis |
1190. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1191. |       11              Main-Kinzig-Kreis |
1192. |       11              Main-Kinzig-Kreis |
1193. |       11              Main-Kinzig-Kreis |
1194. |       11              Main-Kinzig-Kreis |
1195. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1196. |       11              Main-Kinzig-Kreis |
1197. |       11              Main-Kinzig-Kreis |
1198. |       11              Main-Kinzig-Kreis |
1199. |       11              Main-Kinzig-Kreis |
1200. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1201. |       11              Main-Kinzig-Kreis |
1202. |       11              Main-Kinzig-Kreis |
1203. |       11              Main-Kinzig-Kreis |
1204. |       11              Main-Kinzig-Kreis |
1205. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1206. |       11              Main-Kinzig-Kreis |
1207. |       11              Main-Kinzig-Kreis |
1208. |       11              Main-Kinzig-Kreis |
1209. |       11              Main-Kinzig-Kreis |
1210. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1211. |       11              Main-Kinzig-Kreis |
1212. |       11              Main-Kinzig-Kreis |
1213. |       11              Main-Kinzig-Kreis |
1214. |       11              Main-Kinzig-Kreis |
1215. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1216. |       11              Main-Kinzig-Kreis |
1217. |       11              Main-Kinzig-Kreis |
1218. |       11              Main-Kinzig-Kreis |
1219. |       11              Main-Kinzig-Kreis |
1220. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1221. |       11              Main-Kinzig-Kreis |
1222. |       11              Main-Kinzig-Kreis |
1223. |       11              Main-Kinzig-Kreis |
1224. |       11              Main-Kinzig-Kreis |
1225. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1226. |       11              Main-Kinzig-Kreis |
1227. |       11              Main-Kinzig-Kreis |
1228. |       11              Main-Kinzig-Kreis |
1229. |       11              Main-Kinzig-Kreis |
1230. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1231. |       11              Main-Kinzig-Kreis |
1232. |       11              Main-Kinzig-Kreis |
1233. |       11              Main-Kinzig-Kreis |
1234. |       11              Main-Kinzig-Kreis |
1235. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1236. |       11              Main-Kinzig-Kreis |
1237. |       11              Main-Kinzig-Kreis |
1238. |       11              Main-Kinzig-Kreis |
1239. |       11              Main-Kinzig-Kreis |
1240. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1241. |       11              Main-Kinzig-Kreis |
1242. |       11              Main-Kinzig-Kreis |
1243. |       11              Main-Kinzig-Kreis |
1244. |       11              Main-Kinzig-Kreis |
1245. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1246. |       11              Main-Kinzig-Kreis |
1247. |       11              Main-Kinzig-Kreis |
1248. |       11              Main-Kinzig-Kreis |
1249. |       11              Main-Kinzig-Kreis |
1250. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1251. |       11              Main-Kinzig-Kreis |
1252. |       11              Main-Kinzig-Kreis |
1253. |       11              Main-Kinzig-Kreis |
1254. |       11              Main-Kinzig-Kreis |
1255. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1256. |       11              Main-Kinzig-Kreis |
1257. |       11              Main-Kinzig-Kreis |
1258. |       11              Main-Kinzig-Kreis |
1259. |       11              Main-Kinzig-Kreis |
1260. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1261. |       11              Main-Kinzig-Kreis |
1262. |       11              Main-Kinzig-Kreis |
1263. |       11              Main-Kinzig-Kreis |
1264. |       11              Main-Kinzig-Kreis |
1265. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1266. |       11              Main-Kinzig-Kreis |
1267. |       11              Main-Kinzig-Kreis |
1268. |       11              Main-Kinzig-Kreis |
1269. |       11              Main-Kinzig-Kreis |
1270. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1271. |       11              Main-Kinzig-Kreis |
1272. |       11              Main-Kinzig-Kreis |
1273. |       11              Main-Kinzig-Kreis |
1274. |       11              Main-Kinzig-Kreis |
1275. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1276. |       11              Main-Kinzig-Kreis |
1277. |       11              Main-Kinzig-Kreis |
1278. |       11              Main-Kinzig-Kreis |
1279. |       11              Main-Kinzig-Kreis |
1280. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1281. |       11              Main-Kinzig-Kreis |
1282. |       11              Main-Kinzig-Kreis |
1283. |       11              Main-Kinzig-Kreis |
1284. |       11              Main-Kinzig-Kreis |
1285. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1286. |       11              Main-Kinzig-Kreis |
1287. |       11              Main-Kinzig-Kreis |
1288. |       11              Main-Kinzig-Kreis |
1289. |       11              Main-Kinzig-Kreis |
1290. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1291. |       11              Main-Kinzig-Kreis |
1292. |       11              Main-Kinzig-Kreis |
1293. |       11              Main-Kinzig-Kreis |
1294. |       11              Main-Kinzig-Kreis |
1295. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1296. |       11              Main-Kinzig-Kreis |
1297. |       11              Main-Kinzig-Kreis |
1298. |       11              Main-Kinzig-Kreis |
1299. |       11              Main-Kinzig-Kreis |
1300. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1301. |       11              Main-Kinzig-Kreis |
1302. |       11              Main-Kinzig-Kreis |
1303. |       11              Main-Kinzig-Kreis |
1304. |       11              Main-Kinzig-Kreis |
1305. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1306. |       11              Main-Kinzig-Kreis |
1307. |       11              Main-Kinzig-Kreis |
1308. |       11              Main-Kinzig-Kreis |
1309. |       11              Main-Kinzig-Kreis |
1310. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1311. |       11              Main-Kinzig-Kreis |
1312. |       11              Main-Kinzig-Kreis |
1313. |       11              Main-Kinzig-Kreis |
1314. |       11              Main-Kinzig-Kreis |
1315. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1316. |       11              Main-Kinzig-Kreis |
1317. |       11              Main-Kinzig-Kreis |
1318. |       11              Main-Kinzig-Kreis |
1319. |       11              Main-Kinzig-Kreis |
1320. |       11              Main-Kinzig-Kreis |
      |-----------------------------------------|
1321. |       11              Main-Kinzig-Kreis |
1322. |       12              Main-Taunus-Kreis |
1323. |       12              Main-Taunus-Kreis |
1324. |       12              Main-Taunus-Kreis |
1325. |       12              Main-Taunus-Kreis |
      |-----------------------------------------|
1326. |       12              Main-Taunus-Kreis |
1327. |       12              Main-Taunus-Kreis |
1328. |       12              Main-Taunus-Kreis |
1329. |       12              Main-Taunus-Kreis |
1330. |       12              Main-Taunus-Kreis |
      |-----------------------------------------|
1331. |       12              Main-Taunus-Kreis |
1332. |       12              Main-Taunus-Kreis |
1333. |       12              Main-Taunus-Kreis |
1334. |       12              Main-Taunus-Kreis |
1335. |       12              Main-Taunus-Kreis |
      |-----------------------------------------|
1336. |       12              Main-Taunus-Kreis |
1337. |       12              Main-Taunus-Kreis |
1338. |       12              Main-Taunus-Kreis |
1339. |       12              Main-Taunus-Kreis |
1340. |       12              Main-Taunus-Kreis |
      |-----------------------------------------|
1341. |       12              Main-Taunus-Kreis |
1342. |       12              Main-Taunus-Kreis |
1343. |       12              Main-Taunus-Kreis |
1344. |       12              Main-Taunus-Kreis |
1345. |       12              Main-Taunus-Kreis |
      |-----------------------------------------|
1346. |       12              Main-Taunus-Kreis |
1347. |       12              Main-Taunus-Kreis |
1348. |       12              Main-Taunus-Kreis |
1349. |       12              Main-Taunus-Kreis |
1350. |       12              Main-Taunus-Kreis |
      |-----------------------------------------|
1351. |       12              Main-Taunus-Kreis |
1352. |       12              Main-Taunus-Kreis |
1353. |       12              Main-Taunus-Kreis |
1354. |       12              Main-Taunus-Kreis |
1355. |       12              Main-Taunus-Kreis |
      |-----------------------------------------|
1356. |       12              Main-Taunus-Kreis |
1357. |       12              Main-Taunus-Kreis |
1358. |       12              Main-Taunus-Kreis |
1359. |       12              Main-Taunus-Kreis |
1360. |       12              Main-Taunus-Kreis |
      |-----------------------------------------|
1361. |       12              Main-Taunus-Kreis |
1362. |       12              Main-Taunus-Kreis |
1363. |       12              Main-Taunus-Kreis |
1364. |       12              Main-Taunus-Kreis |
1365. |       12              Main-Taunus-Kreis |
      |-----------------------------------------|
1366. |       12              Main-Taunus-Kreis |
1367. |       12              Main-Taunus-Kreis |
1368. |       12              Main-Taunus-Kreis |
1369. |       12              Main-Taunus-Kreis |
1370. |       12              Main-Taunus-Kreis |
      |-----------------------------------------|
1371. |       12              Main-Taunus-Kreis |
1372. |       12              Main-Taunus-Kreis |
1373. |       12              Main-Taunus-Kreis |
1374. |       12              Main-Taunus-Kreis |
1375. |       12              Main-Taunus-Kreis |
      |-----------------------------------------|
1376. |       12              Main-Taunus-Kreis |
1377. |       12              Main-Taunus-Kreis |
1378. |       12              Main-Taunus-Kreis |
1379. |       12              Main-Taunus-Kreis |
1380. |       12              Main-Taunus-Kreis |
      |-----------------------------------------|
1381. |       12              Main-Taunus-Kreis |
1382. |       12              Main-Taunus-Kreis |
1383. |       12              Main-Taunus-Kreis |
1384. |       12              Main-Taunus-Kreis |
1385. |       12              Main-Taunus-Kreis |
      |-----------------------------------------|
1386. |       12              Main-Taunus-Kreis |
1387. |       12              Main-Taunus-Kreis |
1388. |       12              Main-Taunus-Kreis |
1389. |       12              Main-Taunus-Kreis |
1390. |       12              Main-Taunus-Kreis |
      |-----------------------------------------|
1391. |       12              Main-Taunus-Kreis |
1392. |       12              Main-Taunus-Kreis |
1393. |       12              Main-Taunus-Kreis |
1394. |       13             Marburg-Biedenkopf |
1395. |       13             Marburg-Biedenkopf |
      |-----------------------------------------|
1396. |       13             Marburg-Biedenkopf |
1397. |       13             Marburg-Biedenkopf |
1398. |       13             Marburg-Biedenkopf |
1399. |       13             Marburg-Biedenkopf |
1400. |       13             Marburg-Biedenkopf |
      |-----------------------------------------|
1401. |       13             Marburg-Biedenkopf |
1402. |       13             Marburg-Biedenkopf |
1403. |       13             Marburg-Biedenkopf |
1404. |       13             Marburg-Biedenkopf |
1405. |       13             Marburg-Biedenkopf |
      |-----------------------------------------|
1406. |       13             Marburg-Biedenkopf |
1407. |       13             Marburg-Biedenkopf |
1408. |       13             Marburg-Biedenkopf |
1409. |       13             Marburg-Biedenkopf |
1410. |       13             Marburg-Biedenkopf |
      |-----------------------------------------|
1411. |       13             Marburg-Biedenkopf |
1412. |       13             Marburg-Biedenkopf |
1413. |       13             Marburg-Biedenkopf |
1414. |       13             Marburg-Biedenkopf |
1415. |       13             Marburg-Biedenkopf |
      |-----------------------------------------|
1416. |       13             Marburg-Biedenkopf |
1417. |       13             Marburg-Biedenkopf |
1418. |       13             Marburg-Biedenkopf |
1419. |       13             Marburg-Biedenkopf |
1420. |       13             Marburg-Biedenkopf |
      |-----------------------------------------|
1421. |       13             Marburg-Biedenkopf |
1422. |       13             Marburg-Biedenkopf |
1423. |       13             Marburg-Biedenkopf |
1424. |       13             Marburg-Biedenkopf |
1425. |       13             Marburg-Biedenkopf |
      |-----------------------------------------|
1426. |       13             Marburg-Biedenkopf |
1427. |       13             Marburg-Biedenkopf |
1428. |       13             Marburg-Biedenkopf |
1429. |       13             Marburg-Biedenkopf |
1430. |       13             Marburg-Biedenkopf |
      |-----------------------------------------|
1431. |       13             Marburg-Biedenkopf |
1432. |       13             Marburg-Biedenkopf |
1433. |       13             Marburg-Biedenkopf |
1434. |       13             Marburg-Biedenkopf |
1435. |       13             Marburg-Biedenkopf |
      |-----------------------------------------|
1436. |       13             Marburg-Biedenkopf |
1437. |       13             Marburg-Biedenkopf |
1438. |       13             Marburg-Biedenkopf |
1439. |       13             Marburg-Biedenkopf |
1440. |       13             Marburg-Biedenkopf |
      |-----------------------------------------|
1441. |       13             Marburg-Biedenkopf |
1442. |       13             Marburg-Biedenkopf |
1443. |       13             Marburg-Biedenkopf |
1444. |       13             Marburg-Biedenkopf |
1445. |       13             Marburg-Biedenkopf |
      |-----------------------------------------|
1446. |       13             Marburg-Biedenkopf |
1447. |       13             Marburg-Biedenkopf |
1448. |       13             Marburg-Biedenkopf |
1449. |       13             Marburg-Biedenkopf |
1450. |       13             Marburg-Biedenkopf |
      |-----------------------------------------|
1451. |       13             Marburg-Biedenkopf |
1452. |       13             Marburg-Biedenkopf |
1453. |       13             Marburg-Biedenkopf |
1454. |       13             Marburg-Biedenkopf |
1455. |       13             Marburg-Biedenkopf |
      |-----------------------------------------|
1456. |       13             Marburg-Biedenkopf |
1457. |       13             Marburg-Biedenkopf |
1458. |       13             Marburg-Biedenkopf |
1459. |       13             Marburg-Biedenkopf |
1460. |       13             Marburg-Biedenkopf |
      |-----------------------------------------|
1461. |       13             Marburg-Biedenkopf |
1462. |       13             Marburg-Biedenkopf |
1463. |       13             Marburg-Biedenkopf |
1464. |       13             Marburg-Biedenkopf |
1465. |       13             Marburg-Biedenkopf |
      |-----------------------------------------|
1466. |       13             Marburg-Biedenkopf |
1467. |       13             Marburg-Biedenkopf |
1468. |       13             Marburg-Biedenkopf |
1469. |       13             Marburg-Biedenkopf |
1470. |       13             Marburg-Biedenkopf |
      |-----------------------------------------|
1471. |       13             Marburg-Biedenkopf |
1472. |       13             Marburg-Biedenkopf |
1473. |       13             Marburg-Biedenkopf |
1474. |       13             Marburg-Biedenkopf |
1475. |       13             Marburg-Biedenkopf |
      |-----------------------------------------|
1476. |       13             Marburg-Biedenkopf |
1477. |       13             Marburg-Biedenkopf |
1478. |       13             Marburg-Biedenkopf |
1479. |       13             Marburg-Biedenkopf |
1480. |       13             Marburg-Biedenkopf |
      |-----------------------------------------|
1481. |       13             Marburg-Biedenkopf |
1482. |       13             Marburg-Biedenkopf |
1483. |       13             Marburg-Biedenkopf |
1484. |       13             Marburg-Biedenkopf |
1485. |       13             Marburg-Biedenkopf |
      |-----------------------------------------|
1486. |       13             Marburg-Biedenkopf |
1487. |       13             Marburg-Biedenkopf |
1488. |       13             Marburg-Biedenkopf |
1489. |       13             Marburg-Biedenkopf |
1490. |       13             Marburg-Biedenkopf |
      |-----------------------------------------|
1491. |       13             Marburg-Biedenkopf |
1492. |       13             Marburg-Biedenkopf |
1493. |       13             Marburg-Biedenkopf |
1494. |       13             Marburg-Biedenkopf |
1495. |       13             Marburg-Biedenkopf |
      |-----------------------------------------|
1496. |       13             Marburg-Biedenkopf |
1497. |       13             Marburg-Biedenkopf |
1498. |       13             Marburg-Biedenkopf |
1499. |       13             Marburg-Biedenkopf |
1500. |       13             Marburg-Biedenkopf |
      |-----------------------------------------|
1501. |       13             Marburg-Biedenkopf |
1502. |       13             Marburg-Biedenkopf |
1503. |       13             Marburg-Biedenkopf |
1504. |       13             Marburg-Biedenkopf |
1505. |       13             Marburg-Biedenkopf |
      |-----------------------------------------|
1506. |       13             Marburg-Biedenkopf |
1507. |       13             Marburg-Biedenkopf |
1508. |       13             Marburg-Biedenkopf |
1509. |       13             Marburg-Biedenkopf |
1510. |       13             Marburg-Biedenkopf |
      |-----------------------------------------|
1511. |       13             Marburg-Biedenkopf |
1512. |       13             Marburg-Biedenkopf |
1513. |       13             Marburg-Biedenkopf |
1514. |       14                  Odenwaldkreis |
1515. |       14                  Odenwaldkreis |
      |-----------------------------------------|
1516. |       14                  Odenwaldkreis |
1517. |       14                  Odenwaldkreis |
1518. |       14                  Odenwaldkreis |
1519. |       14                  Odenwaldkreis |
1520. |       14                  Odenwaldkreis |
      |-----------------------------------------|
1521. |       14                  Odenwaldkreis |
1522. |       14                  Odenwaldkreis |
1523. |       14                  Odenwaldkreis |
1524. |       14                  Odenwaldkreis |
1525. |       14                  Odenwaldkreis |
      |-----------------------------------------|
1526. |       14                  Odenwaldkreis |
1527. |       14                  Odenwaldkreis |
1528. |       14                  Odenwaldkreis |
1529. |       14                  Odenwaldkreis |
1530. |       14                  Odenwaldkreis |
      |-----------------------------------------|
1531. |       14                  Odenwaldkreis |
1532. |       14                  Odenwaldkreis |
1533. |       14                  Odenwaldkreis |
1534. |       14                  Odenwaldkreis |
1535. |       14                  Odenwaldkreis |
      |-----------------------------------------|
1536. |       14                  Odenwaldkreis |
1537. |       14                  Odenwaldkreis |
1538. |       14                  Odenwaldkreis |
1539. |       14                  Odenwaldkreis |
1540. |       14                  Odenwaldkreis |
      |-----------------------------------------|
1541. |       14                  Odenwaldkreis |
1542. |       14                  Odenwaldkreis |
1543. |       14                  Odenwaldkreis |
1544. |       14                  Odenwaldkreis |
1545. |       14                  Odenwaldkreis |
      |-----------------------------------------|
1546. |       14                  Odenwaldkreis |
1547. |       14                  Odenwaldkreis |
1548. |       14                  Odenwaldkreis |
1549. |       14                  Odenwaldkreis |
1550. |       14                  Odenwaldkreis |
      |-----------------------------------------|
1551. |       14                  Odenwaldkreis |
1552. |       14                  Odenwaldkreis |
1553. |       14                  Odenwaldkreis |
1554. |       14                  Odenwaldkreis |
1555. |       14                  Odenwaldkreis |
      |-----------------------------------------|
1556. |       14                  Odenwaldkreis |
1557. |       14                  Odenwaldkreis |
1558. |       14                  Odenwaldkreis |
1559. |       14                  Odenwaldkreis |
1560. |       14                  Odenwaldkreis |
      |-----------------------------------------|
1561. |       14                  Odenwaldkreis |
1562. |       14                  Odenwaldkreis |
1563. |       14                  Odenwaldkreis |
1564. |       14                  Odenwaldkreis |
1565. |       14                  Odenwaldkreis |
      |-----------------------------------------|
1566. |       14                  Odenwaldkreis |
1567. |       14                  Odenwaldkreis |
1568. |       14                  Odenwaldkreis |
1569. |       14                  Odenwaldkreis |
1570. |       14                  Odenwaldkreis |
      |-----------------------------------------|
1571. |       14                  Odenwaldkreis |
1572. |       14                  Odenwaldkreis |
1573. |       14                  Odenwaldkreis |
1574. |       14                  Odenwaldkreis |
1575. |       14                  Odenwaldkreis |
      |-----------------------------------------|
1576. |       14                  Odenwaldkreis |
1577. |       14                  Odenwaldkreis |
1578. |       14                  Odenwaldkreis |
1579. |       14                  Odenwaldkreis |
1580. |       14                  Odenwaldkreis |
      |-----------------------------------------|
1581. |       14                  Odenwaldkreis |
1582. |       14                  Odenwaldkreis |
1583. |       14                  Odenwaldkreis |
1584. |       14                  Odenwaldkreis |
1585. |       14                  Odenwaldkreis |
      |-----------------------------------------|
1586. |       14                  Odenwaldkreis |
1587. |       14                  Odenwaldkreis |
1588. |       14                  Odenwaldkreis |
1589. |       14                  Odenwaldkreis |
1590. |       14                  Odenwaldkreis |
      |-----------------------------------------|
1591. |       14                  Odenwaldkreis |
1592. |       14                  Odenwaldkreis |
1593. |       14                  Odenwaldkreis |
1594. |       14                  Odenwaldkreis |
1595. |       14                  Odenwaldkreis |
      |-----------------------------------------|
1596. |       14                  Odenwaldkreis |
1597. |       15                      Offenbach |
1598. |       15                      Offenbach |
1599. |       15                      Offenbach |
1600. |       15                      Offenbach |
      |-----------------------------------------|
1601. |       15                      Offenbach |
1602. |       15                      Offenbach |
1603. |       15                      Offenbach |
1604. |       15                      Offenbach |
1605. |       15                      Offenbach |
      |-----------------------------------------|
1606. |       15                      Offenbach |
1607. |       15                      Offenbach |
1608. |       15                      Offenbach |
1609. |       15                      Offenbach |
1610. |       15                      Offenbach |
      |-----------------------------------------|
1611. |       15                      Offenbach |
1612. |       15                      Offenbach |
1613. |       15                      Offenbach |
1614. |       15                      Offenbach |
1615. |       15                      Offenbach |
      |-----------------------------------------|
1616. |       15                      Offenbach |
1617. |       15                      Offenbach |
1618. |       15                      Offenbach |
1619. |       15                      Offenbach |
1620. |       15                      Offenbach |
      |-----------------------------------------|
1621. |       15                      Offenbach |
1622. |       15                      Offenbach |
1623. |       15                      Offenbach |
1624. |       15                      Offenbach |
1625. |       15                      Offenbach |
      |-----------------------------------------|
1626. |       15                      Offenbach |
1627. |       15                      Offenbach |
1628. |       15                      Offenbach |
1629. |       15                      Offenbach |
1630. |       15                      Offenbach |
      |-----------------------------------------|
1631. |       15                      Offenbach |
1632. |       15                      Offenbach |
1633. |       15                      Offenbach |
1634. |       15                      Offenbach |
1635. |       15                      Offenbach |
      |-----------------------------------------|
1636. |       15                      Offenbach |
1637. |       15                      Offenbach |
1638. |       15                      Offenbach |
1639. |       15                      Offenbach |
1640. |       15                      Offenbach |
      |-----------------------------------------|
1641. |       15                      Offenbach |
1642. |       15                      Offenbach |
1643. |       15                      Offenbach |
1644. |       15                      Offenbach |
1645. |       15                      Offenbach |
      |-----------------------------------------|
1646. |       15                      Offenbach |
1647. |       15                      Offenbach |
1648. |       15                      Offenbach |
1649. |       15                      Offenbach |
1650. |       15                      Offenbach |
      |-----------------------------------------|
1651. |       15                      Offenbach |
1652. |       15                      Offenbach |
1653. |       15                      Offenbach |
1654. |       15                      Offenbach |
1655. |       15                      Offenbach |
      |-----------------------------------------|
1656. |       15                      Offenbach |
1657. |       15                      Offenbach |
1658. |       15                      Offenbach |
1659. |       15                      Offenbach |
1660. |       15                      Offenbach |
      |-----------------------------------------|
1661. |       15                      Offenbach |
1662. |       15                      Offenbach |
1663. |       15                      Offenbach |
1664. |       15                      Offenbach |
1665. |       15                      Offenbach |
      |-----------------------------------------|
1666. |       15                      Offenbach |
1667. |       15                      Offenbach |
1668. |       15                      Offenbach |
1669. |       15                      Offenbach |
1670. |       15                      Offenbach |
      |-----------------------------------------|
1671. |       15                      Offenbach |
1672. |       15                      Offenbach |
1673. |       15                      Offenbach |
1674. |       15                      Offenbach |
1675. |       16          Rheingau-Taunus-Kreis |
      |-----------------------------------------|
1676. |       16          Rheingau-Taunus-Kreis |
1677. |       16          Rheingau-Taunus-Kreis |
1678. |       16          Rheingau-Taunus-Kreis |
1679. |       16          Rheingau-Taunus-Kreis |
1680. |       16          Rheingau-Taunus-Kreis |
      |-----------------------------------------|
1681. |       16          Rheingau-Taunus-Kreis |
1682. |       16          Rheingau-Taunus-Kreis |
1683. |       16          Rheingau-Taunus-Kreis |
1684. |       16          Rheingau-Taunus-Kreis |
1685. |       16          Rheingau-Taunus-Kreis |
      |-----------------------------------------|
1686. |       16          Rheingau-Taunus-Kreis |
1687. |       16          Rheingau-Taunus-Kreis |
1688. |       16          Rheingau-Taunus-Kreis |
1689. |       16          Rheingau-Taunus-Kreis |
1690. |       16          Rheingau-Taunus-Kreis |
      |-----------------------------------------|
1691. |       16          Rheingau-Taunus-Kreis |
1692. |       16          Rheingau-Taunus-Kreis |
1693. |       16          Rheingau-Taunus-Kreis |
1694. |       16          Rheingau-Taunus-Kreis |
1695. |       16          Rheingau-Taunus-Kreis |
      |-----------------------------------------|
1696. |       16          Rheingau-Taunus-Kreis |
1697. |       16          Rheingau-Taunus-Kreis |
1698. |       16          Rheingau-Taunus-Kreis |
1699. |       16          Rheingau-Taunus-Kreis |
1700. |       16          Rheingau-Taunus-Kreis |
      |-----------------------------------------|
1701. |       16          Rheingau-Taunus-Kreis |
1702. |       16          Rheingau-Taunus-Kreis |
1703. |       16          Rheingau-Taunus-Kreis |
1704. |       16          Rheingau-Taunus-Kreis |
1705. |       16          Rheingau-Taunus-Kreis |
      |-----------------------------------------|
1706. |       16          Rheingau-Taunus-Kreis |
1707. |       16          Rheingau-Taunus-Kreis |
1708. |       16          Rheingau-Taunus-Kreis |
1709. |       16          Rheingau-Taunus-Kreis |
1710. |       16          Rheingau-Taunus-Kreis |
      |-----------------------------------------|
1711. |       16          Rheingau-Taunus-Kreis |
1712. |       16          Rheingau-Taunus-Kreis |
1713. |       16          Rheingau-Taunus-Kreis |
1714. |       16          Rheingau-Taunus-Kreis |
1715. |       16          Rheingau-Taunus-Kreis |
      |-----------------------------------------|
1716. |       16          Rheingau-Taunus-Kreis |
1717. |       16          Rheingau-Taunus-Kreis |
1718. |       16          Rheingau-Taunus-Kreis |
1719. |       16          Rheingau-Taunus-Kreis |
1720. |       16          Rheingau-Taunus-Kreis |
      |-----------------------------------------|
1721. |       16          Rheingau-Taunus-Kreis |
1722. |       16          Rheingau-Taunus-Kreis |
1723. |       16          Rheingau-Taunus-Kreis |
1724. |       16          Rheingau-Taunus-Kreis |
1725. |       16          Rheingau-Taunus-Kreis |
      |-----------------------------------------|
1726. |       16          Rheingau-Taunus-Kreis |
1727. |       16          Rheingau-Taunus-Kreis |
1728. |       16          Rheingau-Taunus-Kreis |
1729. |       16          Rheingau-Taunus-Kreis |
1730. |       16          Rheingau-Taunus-Kreis |
      |-----------------------------------------|
1731. |       16          Rheingau-Taunus-Kreis |
1732. |       16          Rheingau-Taunus-Kreis |
1733. |       16          Rheingau-Taunus-Kreis |
1734. |       16          Rheingau-Taunus-Kreis |
1735. |       16          Rheingau-Taunus-Kreis |
      |-----------------------------------------|
1736. |       16          Rheingau-Taunus-Kreis |
1737. |       16          Rheingau-Taunus-Kreis |
1738. |       16          Rheingau-Taunus-Kreis |
1739. |       16          Rheingau-Taunus-Kreis |
1740. |       16          Rheingau-Taunus-Kreis |
      |-----------------------------------------|
1741. |       16          Rheingau-Taunus-Kreis |
1742. |       16          Rheingau-Taunus-Kreis |
1743. |       16          Rheingau-Taunus-Kreis |
1744. |       16          Rheingau-Taunus-Kreis |
1745. |       16          Rheingau-Taunus-Kreis |
      |-----------------------------------------|
1746. |       16          Rheingau-Taunus-Kreis |
1747. |       16          Rheingau-Taunus-Kreis |
1748. |       16          Rheingau-Taunus-Kreis |
1749. |       16          Rheingau-Taunus-Kreis |
1750. |       16          Rheingau-Taunus-Kreis |
      |-----------------------------------------|
1751. |       16          Rheingau-Taunus-Kreis |
1752. |       16          Rheingau-Taunus-Kreis |
1753. |       16          Rheingau-Taunus-Kreis |
1754. |       16          Rheingau-Taunus-Kreis |
1755. |       16          Rheingau-Taunus-Kreis |
      |-----------------------------------------|
1756. |       16          Rheingau-Taunus-Kreis |
1757. |       16          Rheingau-Taunus-Kreis |
1758. |       16          Rheingau-Taunus-Kreis |
1759. |       16          Rheingau-Taunus-Kreis |
1760. |       16          Rheingau-Taunus-Kreis |
      |-----------------------------------------|
1761. |       16          Rheingau-Taunus-Kreis |
1762. |       16          Rheingau-Taunus-Kreis |
1763. |       16          Rheingau-Taunus-Kreis |
1764. |       16          Rheingau-Taunus-Kreis |
1765. |       16          Rheingau-Taunus-Kreis |
      |-----------------------------------------|
1766. |       16          Rheingau-Taunus-Kreis |
1767. |       16          Rheingau-Taunus-Kreis |
1768. |       16          Rheingau-Taunus-Kreis |
1769. |       16          Rheingau-Taunus-Kreis |
1770. |       16          Rheingau-Taunus-Kreis |
      |-----------------------------------------|
1771. |       16          Rheingau-Taunus-Kreis |
1772. |       16          Rheingau-Taunus-Kreis |
1773. |       16          Rheingau-Taunus-Kreis |
1774. |       16          Rheingau-Taunus-Kreis |
1775. |       16          Rheingau-Taunus-Kreis |
      |-----------------------------------------|
1776. |       16          Rheingau-Taunus-Kreis |
1777. |       16          Rheingau-Taunus-Kreis |
1778. |       16          Rheingau-Taunus-Kreis |
1779. |       16          Rheingau-Taunus-Kreis |
1780. |       16          Rheingau-Taunus-Kreis |
      |-----------------------------------------|
1781. |       16          Rheingau-Taunus-Kreis |
1782. |       17             Schwalm-Eder-Kreis |
1783. |       17             Schwalm-Eder-Kreis |
1784. |       17             Schwalm-Eder-Kreis |
1785. |       17             Schwalm-Eder-Kreis |
      |-----------------------------------------|
1786. |       17             Schwalm-Eder-Kreis |
1787. |       17             Schwalm-Eder-Kreis |
1788. |       17             Schwalm-Eder-Kreis |
1789. |       17             Schwalm-Eder-Kreis |
1790. |       17             Schwalm-Eder-Kreis |
      |-----------------------------------------|
1791. |       17             Schwalm-Eder-Kreis |
1792. |       17             Schwalm-Eder-Kreis |
1793. |       17             Schwalm-Eder-Kreis |
1794. |       17             Schwalm-Eder-Kreis |
1795. |       17             Schwalm-Eder-Kreis |
      |-----------------------------------------|
1796. |       17             Schwalm-Eder-Kreis |
1797. |       17             Schwalm-Eder-Kreis |
1798. |       17             Schwalm-Eder-Kreis |
1799. |       17             Schwalm-Eder-Kreis |
1800. |       17             Schwalm-Eder-Kreis |
      |-----------------------------------------|
1801. |       17             Schwalm-Eder-Kreis |
1802. |       17             Schwalm-Eder-Kreis |
1803. |       17             Schwalm-Eder-Kreis |
1804. |       17             Schwalm-Eder-Kreis |
1805. |       17             Schwalm-Eder-Kreis |
      |-----------------------------------------|
1806. |       17             Schwalm-Eder-Kreis |
1807. |       17             Schwalm-Eder-Kreis |
1808. |       17             Schwalm-Eder-Kreis |
1809. |       17             Schwalm-Eder-Kreis |
1810. |       17             Schwalm-Eder-Kreis |
      |-----------------------------------------|
1811. |       17             Schwalm-Eder-Kreis |
1812. |       17             Schwalm-Eder-Kreis |
1813. |       17             Schwalm-Eder-Kreis |
1814. |       17             Schwalm-Eder-Kreis |
1815. |       17             Schwalm-Eder-Kreis |
      |-----------------------------------------|
1816. |       17             Schwalm-Eder-Kreis |
1817. |       17             Schwalm-Eder-Kreis |
1818. |       17             Schwalm-Eder-Kreis |
1819. |       17             Schwalm-Eder-Kreis |
1820. |       17             Schwalm-Eder-Kreis |
      |-----------------------------------------|
1821. |       17             Schwalm-Eder-Kreis |
1822. |       17             Schwalm-Eder-Kreis |
1823. |       17             Schwalm-Eder-Kreis |
1824. |       17             Schwalm-Eder-Kreis |
1825. |       17             Schwalm-Eder-Kreis |
      |-----------------------------------------|
1826. |       17             Schwalm-Eder-Kreis |
1827. |       17             Schwalm-Eder-Kreis |
1828. |       17             Schwalm-Eder-Kreis |
1829. |       17             Schwalm-Eder-Kreis |
1830. |       17             Schwalm-Eder-Kreis |
      |-----------------------------------------|
1831. |       17             Schwalm-Eder-Kreis |
1832. |       17             Schwalm-Eder-Kreis |
1833. |       17             Schwalm-Eder-Kreis |
1834. |       17             Schwalm-Eder-Kreis |
1835. |       17             Schwalm-Eder-Kreis |
      |-----------------------------------------|
1836. |       17             Schwalm-Eder-Kreis |
1837. |       17             Schwalm-Eder-Kreis |
1838. |       17             Schwalm-Eder-Kreis |
1839. |       17             Schwalm-Eder-Kreis |
1840. |       17             Schwalm-Eder-Kreis |
      |-----------------------------------------|
1841. |       17             Schwalm-Eder-Kreis |
1842. |       17             Schwalm-Eder-Kreis |
1843. |       17             Schwalm-Eder-Kreis |
1844. |       17             Schwalm-Eder-Kreis |
1845. |       17             Schwalm-Eder-Kreis |
      |-----------------------------------------|
1846. |       17             Schwalm-Eder-Kreis |
1847. |       17             Schwalm-Eder-Kreis |
1848. |       17             Schwalm-Eder-Kreis |
1849. |       17             Schwalm-Eder-Kreis |
1850. |       17             Schwalm-Eder-Kreis |
      |-----------------------------------------|
1851. |       17             Schwalm-Eder-Kreis |
1852. |       17             Schwalm-Eder-Kreis |
1853. |       17             Schwalm-Eder-Kreis |
1854. |       17             Schwalm-Eder-Kreis |
1855. |       17             Schwalm-Eder-Kreis |
      |-----------------------------------------|
1856. |       17             Schwalm-Eder-Kreis |
1857. |       17             Schwalm-Eder-Kreis |
1858. |       17             Schwalm-Eder-Kreis |
1859. |       17             Schwalm-Eder-Kreis |
1860. |       17             Schwalm-Eder-Kreis |
      |-----------------------------------------|
1861. |       17             Schwalm-Eder-Kreis |
1862. |       17             Schwalm-Eder-Kreis |
1863. |       17             Schwalm-Eder-Kreis |
1864. |       17             Schwalm-Eder-Kreis |
1865. |       17             Schwalm-Eder-Kreis |
      |-----------------------------------------|
1866. |       17             Schwalm-Eder-Kreis |
1867. |       17             Schwalm-Eder-Kreis |
1868. |       17             Schwalm-Eder-Kreis |
1869. |       17             Schwalm-Eder-Kreis |
1870. |       17             Schwalm-Eder-Kreis |
      |-----------------------------------------|
1871. |       17             Schwalm-Eder-Kreis |
1872. |       17             Schwalm-Eder-Kreis |
1873. |       17             Schwalm-Eder-Kreis |
1874. |       17             Schwalm-Eder-Kreis |
1875. |       17             Schwalm-Eder-Kreis |
      |-----------------------------------------|
1876. |       17             Schwalm-Eder-Kreis |
1877. |       17             Schwalm-Eder-Kreis |
1878. |       17             Schwalm-Eder-Kreis |
1879. |       17             Schwalm-Eder-Kreis |
1880. |       17             Schwalm-Eder-Kreis |
      |-----------------------------------------|
1881. |       17             Schwalm-Eder-Kreis |
1882. |       17             Schwalm-Eder-Kreis |
1883. |       17             Schwalm-Eder-Kreis |
1884. |       17             Schwalm-Eder-Kreis |
1885. |       17             Schwalm-Eder-Kreis |
      |-----------------------------------------|
1886. |       17             Schwalm-Eder-Kreis |
1887. |       17             Schwalm-Eder-Kreis |
1888. |       17             Schwalm-Eder-Kreis |
1889. |       17             Schwalm-Eder-Kreis |
1890. |       17             Schwalm-Eder-Kreis |
      |-----------------------------------------|
1891. |       17             Schwalm-Eder-Kreis |
1892. |       17             Schwalm-Eder-Kreis |
1893. |       17             Schwalm-Eder-Kreis |
1894. |       17             Schwalm-Eder-Kreis |
1895. |       17             Schwalm-Eder-Kreis |
      |-----------------------------------------|
1896. |       17             Schwalm-Eder-Kreis |
1897. |       17             Schwalm-Eder-Kreis |
1898. |       17             Schwalm-Eder-Kreis |
1899. |       17             Schwalm-Eder-Kreis |
1900. |       17             Schwalm-Eder-Kreis |
      |-----------------------------------------|
1901. |       17             Schwalm-Eder-Kreis |
1902. |       17             Schwalm-Eder-Kreis |
1903. |       17             Schwalm-Eder-Kreis |
1904. |       17             Schwalm-Eder-Kreis |
1905. |       17             Schwalm-Eder-Kreis |
      |-----------------------------------------|
1906. |       17             Schwalm-Eder-Kreis |
1907. |       17             Schwalm-Eder-Kreis |
1908. |       17             Schwalm-Eder-Kreis |
1909. |       17             Schwalm-Eder-Kreis |
1910. |       17             Schwalm-Eder-Kreis |
      |-----------------------------------------|
1911. |       17             Schwalm-Eder-Kreis |
1912. |       17             Schwalm-Eder-Kreis |
1913. |       17             Schwalm-Eder-Kreis |
1914. |       17             Schwalm-Eder-Kreis |
1915. |       17             Schwalm-Eder-Kreis |
      |-----------------------------------------|
1916. |       17             Schwalm-Eder-Kreis |
1917. |       17             Schwalm-Eder-Kreis |
1918. |       17             Schwalm-Eder-Kreis |
1919. |       18                Vogelbergskreis |
1920. |       18                Vogelbergskreis |
      |-----------------------------------------|
1921. |       18                Vogelbergskreis |
1922. |       18                Vogelbergskreis |
1923. |       18                Vogelbergskreis |
1924. |       18                Vogelbergskreis |
1925. |       18                Vogelbergskreis |
      |-----------------------------------------|
1926. |       18                Vogelbergskreis |
1927. |       18                Vogelbergskreis |
1928. |       18                Vogelbergskreis |
1929. |       18                Vogelbergskreis |
1930. |       18                Vogelbergskreis |
      |-----------------------------------------|
1931. |       18                Vogelbergskreis |
1932. |       18                Vogelbergskreis |
1933. |       18                Vogelbergskreis |
1934. |       18                Vogelbergskreis |
1935. |       18                Vogelbergskreis |
      |-----------------------------------------|
1936. |       18                Vogelbergskreis |
1937. |       18                Vogelbergskreis |
1938. |       18                Vogelbergskreis |
1939. |       18                Vogelbergskreis |
1940. |       18                Vogelbergskreis |
      |-----------------------------------------|
1941. |       18                Vogelbergskreis |
1942. |       18                Vogelbergskreis |
1943. |       18                Vogelbergskreis |
1944. |       18                Vogelbergskreis |
1945. |       18                Vogelbergskreis |
      |-----------------------------------------|
1946. |       18                Vogelbergskreis |
1947. |       18                Vogelbergskreis |
1948. |       18                Vogelbergskreis |
1949. |       18                Vogelbergskreis |
1950. |       18                Vogelbergskreis |
      |-----------------------------------------|
1951. |       18                Vogelbergskreis |
1952. |       18                Vogelbergskreis |
1953. |       18                Vogelbergskreis |
1954. |       18                Vogelbergskreis |
1955. |       18                Vogelbergskreis |
      |-----------------------------------------|
1956. |       18                Vogelbergskreis |
1957. |       18                Vogelbergskreis |
1958. |       18                Vogelbergskreis |
1959. |       18                Vogelbergskreis |
1960. |       18                Vogelbergskreis |
      |-----------------------------------------|
1961. |       18                Vogelbergskreis |
1962. |       18                Vogelbergskreis |
1963. |       18                Vogelbergskreis |
1964. |       18                Vogelbergskreis |
1965. |       18                Vogelbergskreis |
      |-----------------------------------------|
1966. |       18                Vogelbergskreis |
1967. |       18                Vogelbergskreis |
1968. |       18                Vogelbergskreis |
1969. |       18                Vogelbergskreis |
1970. |       18                Vogelbergskreis |
      |-----------------------------------------|
1971. |       18                Vogelbergskreis |
1972. |       18                Vogelbergskreis |
1973. |       18                Vogelbergskreis |
1974. |       18                Vogelbergskreis |
1975. |       18                Vogelbergskreis |
      |-----------------------------------------|
1976. |       18                Vogelbergskreis |
1977. |       18                Vogelbergskreis |
1978. |       18                Vogelbergskreis |
1979. |       18                Vogelbergskreis |
1980. |       18                Vogelbergskreis |
      |-----------------------------------------|
1981. |       18                Vogelbergskreis |
1982. |       18                Vogelbergskreis |
1983. |       18                Vogelbergskreis |
1984. |       18                Vogelbergskreis |
1985. |       18                Vogelbergskreis |
      |-----------------------------------------|
1986. |       18                Vogelbergskreis |
1987. |       18                Vogelbergskreis |
1988. |       18                Vogelbergskreis |
1989. |       18                Vogelbergskreis |
1990. |       18                Vogelbergskreis |
      |-----------------------------------------|
1991. |       18                Vogelbergskreis |
1992. |       18                Vogelbergskreis |
1993. |       18                Vogelbergskreis |
1994. |       18                Vogelbergskreis |
1995. |       18                Vogelbergskreis |
      |-----------------------------------------|
1996. |       18                Vogelbergskreis |
1997. |       18                Vogelbergskreis |
1998. |       18                Vogelbergskreis |
1999. |       18                Vogelbergskreis |
2000. |       18                Vogelbergskreis |
      |-----------------------------------------|
2001. |       18                Vogelbergskreis |
2002. |       18                Vogelbergskreis |
2003. |       18                Vogelbergskreis |
2004. |       18                Vogelbergskreis |
2005. |       18                Vogelbergskreis |
      |-----------------------------------------|
2006. |       18                Vogelbergskreis |
2007. |       18                Vogelbergskreis |
2008. |       18                Vogelbergskreis |
2009. |       18                Vogelbergskreis |
2010. |       18                Vogelbergskreis |
      |-----------------------------------------|
2011. |       18                Vogelbergskreis |
2012. |       18                Vogelbergskreis |
2013. |       18                Vogelbergskreis |
2014. |       18                Vogelbergskreis |
2015. |       18                Vogelbergskreis |
      |-----------------------------------------|
2016. |       18                Vogelbergskreis |
2017. |       18                Vogelbergskreis |
2018. |       18                Vogelbergskreis |
2019. |       18                Vogelbergskreis |
2020. |       18                Vogelbergskreis |
      |-----------------------------------------|
2021. |       18                Vogelbergskreis |
2022. |       18                Vogelbergskreis |
2023. |       18                Vogelbergskreis |
2024. |       19            Waldeck-Frankenberg |
2025. |       19            Waldeck-Frankenberg |
      |-----------------------------------------|
2026. |       19            Waldeck-Frankenberg |
2027. |       19            Waldeck-Frankenberg |
2028. |       19            Waldeck-Frankenberg |
2029. |       19            Waldeck-Frankenberg |
2030. |       19            Waldeck-Frankenberg |
      |-----------------------------------------|
2031. |       19            Waldeck-Frankenberg |
2032. |       19            Waldeck-Frankenberg |
2033. |       19            Waldeck-Frankenberg |
2034. |       19            Waldeck-Frankenberg |
2035. |       19            Waldeck-Frankenberg |
      |-----------------------------------------|
2036. |       19            Waldeck-Frankenberg |
2037. |       19            Waldeck-Frankenberg |
2038. |       19            Waldeck-Frankenberg |
2039. |       19            Waldeck-Frankenberg |
2040. |       19            Waldeck-Frankenberg |
      |-----------------------------------------|
2041. |       19            Waldeck-Frankenberg |
2042. |       19            Waldeck-Frankenberg |
2043. |       19            Waldeck-Frankenberg |
2044. |       19            Waldeck-Frankenberg |
2045. |       19            Waldeck-Frankenberg |
      |-----------------------------------------|
2046. |       19            Waldeck-Frankenberg |
2047. |       19            Waldeck-Frankenberg |
2048. |       19            Waldeck-Frankenberg |
2049. |       19            Waldeck-Frankenberg |
2050. |       19            Waldeck-Frankenberg |
      |-----------------------------------------|
2051. |       19            Waldeck-Frankenberg |
2052. |       19            Waldeck-Frankenberg |
2053. |       19            Waldeck-Frankenberg |
2054. |       19            Waldeck-Frankenberg |
2055. |       19            Waldeck-Frankenberg |
      |-----------------------------------------|
2056. |       19            Waldeck-Frankenberg |
2057. |       19            Waldeck-Frankenberg |
2058. |       19            Waldeck-Frankenberg |
2059. |       19            Waldeck-Frankenberg |
2060. |       19            Waldeck-Frankenberg |
      |-----------------------------------------|
2061. |       19            Waldeck-Frankenberg |
2062. |       19            Waldeck-Frankenberg |
2063. |       19            Waldeck-Frankenberg |
2064. |       19            Waldeck-Frankenberg |
2065. |       19            Waldeck-Frankenberg |
      |-----------------------------------------|
2066. |       19            Waldeck-Frankenberg |
2067. |       19            Waldeck-Frankenberg |
2068. |       19            Waldeck-Frankenberg |
2069. |       19            Waldeck-Frankenberg |
2070. |       19            Waldeck-Frankenberg |
      |-----------------------------------------|
2071. |       19            Waldeck-Frankenberg |
2072. |       19            Waldeck-Frankenberg |
2073. |       19            Waldeck-Frankenberg |
2074. |       19            Waldeck-Frankenberg |
2075. |       19            Waldeck-Frankenberg |
      |-----------------------------------------|
2076. |       19            Waldeck-Frankenberg |
2077. |       19            Waldeck-Frankenberg |
2078. |       19            Waldeck-Frankenberg |
2079. |       19            Waldeck-Frankenberg |
2080. |       19            Waldeck-Frankenberg |
      |-----------------------------------------|
2081. |       19            Waldeck-Frankenberg |
2082. |       19            Waldeck-Frankenberg |
2083. |       19            Waldeck-Frankenberg |
2084. |       19            Waldeck-Frankenberg |
2085. |       19            Waldeck-Frankenberg |
      |-----------------------------------------|
2086. |       19            Waldeck-Frankenberg |
2087. |       19            Waldeck-Frankenberg |
2088. |       19            Waldeck-Frankenberg |
2089. |       19            Waldeck-Frankenberg |
2090. |       19            Waldeck-Frankenberg |
      |-----------------------------------------|
2091. |       19            Waldeck-Frankenberg |
2092. |       19            Waldeck-Frankenberg |
2093. |       19            Waldeck-Frankenberg |
2094. |       19            Waldeck-Frankenberg |
2095. |       19            Waldeck-Frankenberg |
      |-----------------------------------------|
2096. |       19            Waldeck-Frankenberg |
2097. |       19            Waldeck-Frankenberg |
2098. |       19            Waldeck-Frankenberg |
2099. |       19            Waldeck-Frankenberg |
2100. |       19            Waldeck-Frankenberg |
      |-----------------------------------------|
2101. |       19            Waldeck-Frankenberg |
2102. |       19            Waldeck-Frankenberg |
2103. |       19            Waldeck-Frankenberg |
2104. |       19            Waldeck-Frankenberg |
2105. |       19            Waldeck-Frankenberg |
      |-----------------------------------------|
2106. |       19            Waldeck-Frankenberg |
2107. |       19            Waldeck-Frankenberg |
2108. |       19            Waldeck-Frankenberg |
2109. |       19            Waldeck-Frankenberg |
2110. |       19            Waldeck-Frankenberg |
      |-----------------------------------------|
2111. |       19            Waldeck-Frankenberg |
2112. |       19            Waldeck-Frankenberg |
2113. |       19            Waldeck-Frankenberg |
2114. |       19            Waldeck-Frankenberg |
2115. |       19            Waldeck-Frankenberg |
      |-----------------------------------------|
2116. |       19            Waldeck-Frankenberg |
2117. |       19            Waldeck-Frankenberg |
2118. |       19            Waldeck-Frankenberg |
2119. |       19            Waldeck-Frankenberg |
2120. |       19            Waldeck-Frankenberg |
      |-----------------------------------------|
2121. |       19            Waldeck-Frankenberg |
2122. |       19            Waldeck-Frankenberg |
2123. |       19            Waldeck-Frankenberg |
2124. |       19            Waldeck-Frankenberg |
2125. |       19            Waldeck-Frankenberg |
      |-----------------------------------------|
2126. |       19            Waldeck-Frankenberg |
2127. |       19            Waldeck-Frankenberg |
2128. |       19            Waldeck-Frankenberg |
2129. |       19            Waldeck-Frankenberg |
2130. |       19            Waldeck-Frankenberg |
      |-----------------------------------------|
2131. |       19            Waldeck-Frankenberg |
2132. |       19            Waldeck-Frankenberg |
2133. |       19            Waldeck-Frankenberg |
2134. |       19            Waldeck-Frankenberg |
2135. |       19            Waldeck-Frankenberg |
      |-----------------------------------------|
2136. |       19            Waldeck-Frankenberg |
2137. |       19            Waldeck-Frankenberg |
2138. |       19            Waldeck-Frankenberg |
2139. |       19            Waldeck-Frankenberg |
2140. |       19            Waldeck-Frankenberg |
      |-----------------------------------------|
2141. |       19            Waldeck-Frankenberg |
2142. |       19            Waldeck-Frankenberg |
2143. |       19            Waldeck-Frankenberg |
2144. |       19            Waldeck-Frankenberg |
2145. |       19            Waldeck-Frankenberg |
      |-----------------------------------------|
2146. |       19            Waldeck-Frankenberg |
2147. |       20            Werra-Mei�ner-Kreis |
2148. |       20            Werra-Mei�ner-Kreis |
2149. |       20            Werra-Mei�ner-Kreis |
2150. |       20            Werra-Mei�ner-Kreis |
      |-----------------------------------------|
2151. |       20            Werra-Mei�ner-Kreis |
2152. |       20            Werra-Mei�ner-Kreis |
2153. |       20            Werra-Mei�ner-Kreis |
2154. |       20            Werra-Mei�ner-Kreis |
2155. |       20            Werra-Mei�ner-Kreis |
      |-----------------------------------------|
2156. |       20            Werra-Mei�ner-Kreis |
2157. |       20            Werra-Mei�ner-Kreis |
2158. |       20            Werra-Mei�ner-Kreis |
2159. |       20            Werra-Mei�ner-Kreis |
2160. |       20            Werra-Mei�ner-Kreis |
      |-----------------------------------------|
2161. |       20            Werra-Mei�ner-Kreis |
2162. |       20            Werra-Mei�ner-Kreis |
2163. |       20            Werra-Mei�ner-Kreis |
2164. |       20            Werra-Mei�ner-Kreis |
2165. |       20            Werra-Mei�ner-Kreis |
      |-----------------------------------------|
2166. |       20            Werra-Mei�ner-Kreis |
2167. |       20            Werra-Mei�ner-Kreis |
2168. |       20            Werra-Mei�ner-Kreis |
2169. |       20            Werra-Mei�ner-Kreis |
2170. |       20            Werra-Mei�ner-Kreis |
      |-----------------------------------------|
2171. |       20            Werra-Mei�ner-Kreis |
2172. |       20            Werra-Mei�ner-Kreis |
2173. |       20            Werra-Mei�ner-Kreis |
2174. |       20            Werra-Mei�ner-Kreis |
2175. |       20            Werra-Mei�ner-Kreis |
      |-----------------------------------------|
2176. |       20            Werra-Mei�ner-Kreis |
2177. |       20            Werra-Mei�ner-Kreis |
2178. |       20            Werra-Mei�ner-Kreis |
2179. |       20            Werra-Mei�ner-Kreis |
2180. |       20            Werra-Mei�ner-Kreis |
      |-----------------------------------------|
2181. |       20            Werra-Mei�ner-Kreis |
2182. |       20            Werra-Mei�ner-Kreis |
2183. |       20            Werra-Mei�ner-Kreis |
2184. |       20            Werra-Mei�ner-Kreis |
2185. |       20            Werra-Mei�ner-Kreis |
      |-----------------------------------------|
2186. |       20            Werra-Mei�ner-Kreis |
2187. |       20            Werra-Mei�ner-Kreis |
2188. |       20            Werra-Mei�ner-Kreis |
2189. |       20            Werra-Mei�ner-Kreis |
2190. |       20            Werra-Mei�ner-Kreis |
      |-----------------------------------------|
2191. |       20            Werra-Mei�ner-Kreis |
2192. |       20            Werra-Mei�ner-Kreis |
2193. |       20            Werra-Mei�ner-Kreis |
2194. |       20            Werra-Mei�ner-Kreis |
2195. |       20            Werra-Mei�ner-Kreis |
      |-----------------------------------------|
2196. |       20            Werra-Mei�ner-Kreis |
2197. |       20            Werra-Mei�ner-Kreis |
2198. |       20            Werra-Mei�ner-Kreis |
2199. |       20            Werra-Mei�ner-Kreis |
2200. |       20            Werra-Mei�ner-Kreis |
      |-----------------------------------------|
2201. |       20            Werra-Mei�ner-Kreis |
2202. |       20            Werra-Mei�ner-Kreis |
2203. |       20            Werra-Mei�ner-Kreis |
2204. |       20            Werra-Mei�ner-Kreis |
2205. |       20            Werra-Mei�ner-Kreis |
      |-----------------------------------------|
2206. |       20            Werra-Mei�ner-Kreis |
2207. |       20            Werra-Mei�ner-Kreis |
2208. |       20            Werra-Mei�ner-Kreis |
2209. |       20            Werra-Mei�ner-Kreis |
2210. |       20            Werra-Mei�ner-Kreis |
      |-----------------------------------------|
2211. |       20            Werra-Mei�ner-Kreis |
2212. |       20            Werra-Mei�ner-Kreis |
2213. |       20            Werra-Mei�ner-Kreis |
2214. |       20            Werra-Mei�ner-Kreis |
2215. |       20            Werra-Mei�ner-Kreis |
      |-----------------------------------------|
2216. |       20            Werra-Mei�ner-Kreis |
2217. |       20            Werra-Mei�ner-Kreis |
2218. |       20            Werra-Mei�ner-Kreis |
2219. |       20            Werra-Mei�ner-Kreis |
2220. |       20            Werra-Mei�ner-Kreis |
      |-----------------------------------------|
2221. |       20            Werra-Mei�ner-Kreis |
2222. |       20            Werra-Mei�ner-Kreis |
2223. |       20            Werra-Mei�ner-Kreis |
2224. |       20            Werra-Mei�ner-Kreis |
2225. |       20            Werra-Mei�ner-Kreis |
      |-----------------------------------------|
2226. |       20            Werra-Mei�ner-Kreis |
2227. |       20            Werra-Mei�ner-Kreis |
2228. |       20            Werra-Mei�ner-Kreis |
2229. |       20            Werra-Mei�ner-Kreis |
2230. |       20            Werra-Mei�ner-Kreis |
      |-----------------------------------------|
2231. |       20            Werra-Mei�ner-Kreis |
2232. |       20            Werra-Mei�ner-Kreis |
2233. |       20            Werra-Mei�ner-Kreis |
2234. |       20            Werra-Mei�ner-Kreis |
2235. |       21                  Wetteraukreis |
      |-----------------------------------------|
2236. |       21                  Wetteraukreis |
2237. |       21                  Wetteraukreis |
2238. |       21                  Wetteraukreis |
2239. |       21                  Wetteraukreis |
2240. |       21                  Wetteraukreis |
      |-----------------------------------------|
2241. |       21                  Wetteraukreis |
2242. |       21                  Wetteraukreis |
2243. |       21                  Wetteraukreis |
2244. |       21                  Wetteraukreis |
2245. |       21                  Wetteraukreis |
      |-----------------------------------------|
2246. |       21                  Wetteraukreis |
2247. |       21                  Wetteraukreis |
2248. |       21                  Wetteraukreis |
2249. |       21                  Wetteraukreis |
2250. |       21                  Wetteraukreis |
      |-----------------------------------------|
2251. |       21                  Wetteraukreis |
2252. |       21                  Wetteraukreis |
2253. |       21                  Wetteraukreis |
2254. |       21                  Wetteraukreis |
2255. |       21                  Wetteraukreis |
      |-----------------------------------------|
2256. |       21                  Wetteraukreis |
2257. |       21                  Wetteraukreis |
2258. |       21                  Wetteraukreis |
2259. |       21                  Wetteraukreis |
2260. |       21                  Wetteraukreis |
      |-----------------------------------------|
2261. |       21                  Wetteraukreis |
2262. |       21                  Wetteraukreis |
2263. |       21                  Wetteraukreis |
2264. |       21                  Wetteraukreis |
2265. |       21                  Wetteraukreis |
      |-----------------------------------------|
2266. |       21                  Wetteraukreis |
2267. |       21                  Wetteraukreis |
2268. |       21                  Wetteraukreis |
2269. |       21                  Wetteraukreis |
2270. |       21                  Wetteraukreis |
      |-----------------------------------------|
2271. |       21                  Wetteraukreis |
2272. |       21                  Wetteraukreis |
2273. |       21                  Wetteraukreis |
2274. |       21                  Wetteraukreis |
2275. |       21                  Wetteraukreis |
      |-----------------------------------------|
2276. |       21                  Wetteraukreis |
2277. |       21                  Wetteraukreis |
2278. |       21                  Wetteraukreis |
2279. |       21                  Wetteraukreis |
2280. |       21                  Wetteraukreis |
      |-----------------------------------------|
2281. |       21                  Wetteraukreis |
2282. |       21                  Wetteraukreis |
2283. |       21                  Wetteraukreis |
2284. |       21                  Wetteraukreis |
2285. |       21                  Wetteraukreis |
      |-----------------------------------------|
2286. |       21                  Wetteraukreis |
2287. |       21                  Wetteraukreis |
2288. |       21                  Wetteraukreis |
2289. |       21                  Wetteraukreis |
2290. |       21                  Wetteraukreis |
      |-----------------------------------------|
2291. |       21                  Wetteraukreis |
2292. |       21                  Wetteraukreis |
2293. |       21                  Wetteraukreis |
2294. |       21                  Wetteraukreis |
2295. |       21                  Wetteraukreis |
      |-----------------------------------------|
2296. |       21                  Wetteraukreis |
2297. |       21                  Wetteraukreis |
2298. |       21                  Wetteraukreis |
2299. |       21                  Wetteraukreis |
2300. |       21                  Wetteraukreis |
      |-----------------------------------------|
2301. |       21                  Wetteraukreis |
2302. |       21                  Wetteraukreis |
2303. |       21                  Wetteraukreis |
2304. |       21                  Wetteraukreis |
2305. |       21                  Wetteraukreis |
      |-----------------------------------------|
2306. |       21                  Wetteraukreis |
2307. |       21                  Wetteraukreis |
2308. |       21                  Wetteraukreis |
2309. |       21                  Wetteraukreis |
2310. |       21                  Wetteraukreis |
      |-----------------------------------------|
2311. |       21                  Wetteraukreis |
2312. |       21                  Wetteraukreis |
2313. |       21                  Wetteraukreis |
2314. |       21                  Wetteraukreis |
2315. |       21                  Wetteraukreis |
      |-----------------------------------------|
2316. |       21                  Wetteraukreis |
2317. |       21                  Wetteraukreis |
2318. |       21                  Wetteraukreis |
2319. |       21                  Wetteraukreis |
2320. |       21                  Wetteraukreis |
      |-----------------------------------------|
2321. |       21                  Wetteraukreis |
2322. |       21                  Wetteraukreis |
2323. |       21                  Wetteraukreis |
2324. |       21                  Wetteraukreis |
2325. |       21                  Wetteraukreis |
      |-----------------------------------------|
2326. |       21                  Wetteraukreis |
2327. |       21                  Wetteraukreis |
2328. |       21                  Wetteraukreis |
2329. |       21                  Wetteraukreis |
2330. |       21                  Wetteraukreis |
      |-----------------------------------------|
2331. |       21                  Wetteraukreis |
2332. |       21                  Wetteraukreis |
2333. |       21                  Wetteraukreis |
2334. |       21                  Wetteraukreis |
2335. |       21                  Wetteraukreis |
      |-----------------------------------------|
2336. |       21                  Wetteraukreis |
2337. |       21                  Wetteraukreis |
2338. |       21                  Wetteraukreis |
2339. |       21                  Wetteraukreis |
2340. |       21                  Wetteraukreis |
      |-----------------------------------------|
2341. |       21                  Wetteraukreis |
2342. |       21                  Wetteraukreis |
2343. |       21                  Wetteraukreis |
2344. |       21                  Wetteraukreis |
2345. |       21                  Wetteraukreis |
      |-----------------------------------------|
2346. |       21                  Wetteraukreis |
2347. |       21                  Wetteraukreis |
2348. |       21                  Wetteraukreis |
2349. |       21                  Wetteraukreis |
2350. |       21                  Wetteraukreis |
      |-----------------------------------------|
2351. |       21                  Wetteraukreis |
2352. |       21                  Wetteraukreis |
2353. |       21                  Wetteraukreis |
2354. |       21                  Wetteraukreis |
2355. |       21                  Wetteraukreis |
      |-----------------------------------------|
2356. |       21                  Wetteraukreis |
2357. |       21                  Wetteraukreis |
2358. |       21                  Wetteraukreis |
2359. |       21                  Wetteraukreis |
2360. |       21                  Wetteraukreis |
      |-----------------------------------------|
2361. |       21                  Wetteraukreis |
2362. |       21                  Wetteraukreis |
2363. |       21                  Wetteraukreis |
2364. |       21                  Wetteraukreis |
2365. |       21                  Wetteraukreis |
      |-----------------------------------------|
2366. |       21                  Wetteraukreis |
2367. |       21                  Wetteraukreis |
2368. |       21                  Wetteraukreis |
2369. |       21                  Wetteraukreis |
2370. |       21                  Wetteraukreis |
      |-----------------------------------------|
2371. |       21                  Wetteraukreis |
2372. |       21                  Wetteraukreis |
2373. |       21                  Wetteraukreis |
2374. |       21                  Wetteraukreis |
2375. |       21                  Wetteraukreis |
      |-----------------------------------------|
2376. |       21                  Wetteraukreis |
2377. |       21                  Wetteraukreis |
2378. |       21                  Wetteraukreis |
2379. |       21                  Wetteraukreis |
2380. |       21                  Wetteraukreis |
      |-----------------------------------------|
2381. |       21                  Wetteraukreis |
2382. |       21                  Wetteraukreis |
2383. |       22   Darmstadt (kreisfreie Stadt) |
2384. |       22   Darmstadt (kreisfreie Stadt) |
2385. |       22   Darmstadt (kreisfreie Stadt) |
      |-----------------------------------------|
2386. |       22   Darmstadt (kreisfreie Stadt) |
2387. |       22   Darmstadt (kreisfreie Stadt) |
2388. |       22   Darmstadt (kreisfreie Stadt) |
2389. |       22   Darmstadt (kreisfreie Stadt) |
2390. |       22   Darmstadt (kreisfreie Stadt) |
      |-----------------------------------------|
2391. |       22   Darmstadt (kreisfreie Stadt) |
2392. |       22   Frankfurt (kreisfreie Stadt) |
2393. |       22   Frankfurt (kreisfreie Stadt) |
2394. |       22   Frankfurt (kreisfreie Stadt) |
2395. |       22   Frankfurt (kreisfreie Stadt) |
      |-----------------------------------------|
2396. |       22   Frankfurt (kreisfreie Stadt) |
2397. |       22   Frankfurt (kreisfreie Stadt) |
2398. |       22   Frankfurt (kreisfreie Stadt) |
2399. |       22   Frankfurt (kreisfreie Stadt) |
2400. |       22      Kassel (kreisfreie Stadt) |
      |-----------------------------------------|
2401. |       22      Kassel (kreisfreie Stadt) |
2402. |       22      Kassel (kreisfreie Stadt) |
2403. |       22      Kassel (kreisfreie Stadt) |
2404. |       22      Kassel (kreisfreie Stadt) |
2405. |       22      Kassel (kreisfreie Stadt) |
      |-----------------------------------------|
2406. |       22   Offenbach (kreisfreie Stadt) |
2407. |       22   Offenbach (kreisfreie Stadt) |
2408. |       22   Offenbach (kreisfreie Stadt) |
2409. |       22   Offenbach (kreisfreie Stadt) |
2410. |       22   Offenbach (kreisfreie Stadt) |
      |-----------------------------------------|
2411. |       22   Offenbach (kreisfreie Stadt) |
2412. |       22   Offenbach (kreisfreie Stadt) |
2413. |       22   Offenbach (kreisfreie Stadt) |
2414. |       22   Wiesbaden (kreisfreie Stadt) |
2415. |       22   Wiesbaden (kreisfreie Stadt) |
      |-----------------------------------------|
2416. |       22   Wiesbaden (kreisfreie Stadt) |
2417. |       22   Wiesbaden (kreisfreie Stadt) |
2418. |       22   Wiesbaden (kreisfreie Stadt) |
2419. |       22   Wiesbaden (kreisfreie Stadt) |
2420. |       22   Wiesbaden (kreisfreie Stadt) |
      |-----------------------------------------|
2421. |       22   Wiesbaden (kreisfreie Stadt) |
      +-----------------------------------------+

. drop temp*

. save `"New data on Hesse\Übersicht_BM_2020_geminde.dta"', replace // This will be used as a base for the dataset of all local e
> lections
file New data on Hesse\Übersicht_BM_2020_geminde.dta saved

. 
. * Preparation for the Landratswahlen
. use `"New data on Hesse\Übersicht_BM_2020_geminde.dta"', replace

. keep if kreis_groupped <22
(39 observations deleted)

. bysort id: gen temp1 = _n 

. keep if temp1 == 1 
(1,960 observations deleted)

. drop temp1

. fre id // 422 cities, that's correct (5 "kreisfreie Stadt" are removed)

id
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   1     |          1       0.24       0.24       0.24
        2     |          1       0.24       0.24       0.47
        3     |          1       0.24       0.24       0.71
        4     |          1       0.24       0.24       0.95
        5     |          1       0.24       0.24       1.18
        6     |          1       0.24       0.24       1.42
        7     |          1       0.24       0.24       1.66
        8     |          1       0.24       0.24       1.90
        9     |          1       0.24       0.24       2.13
        10    |          1       0.24       0.24       2.37
        11    |          1       0.24       0.24       2.61
        12    |          1       0.24       0.24       2.84
        13    |          1       0.24       0.24       3.08
        14    |          1       0.24       0.24       3.32
        15    |          1       0.24       0.24       3.55
        16    |          1       0.24       0.24       3.79
        17    |          1       0.24       0.24       4.03
        18    |          1       0.24       0.24       4.27
        19    |          1       0.24       0.24       4.50
        20    |          1       0.24       0.24       4.74
        :     |          :          :          :          :
        407   |          1       0.24       0.24      95.50
        408   |          1       0.24       0.24      95.73
        409   |          1       0.24       0.24      95.97
        410   |          1       0.24       0.24      96.21
        411   |          1       0.24       0.24      96.45
        412   |          1       0.24       0.24      96.68
        413   |          1       0.24       0.24      96.92
        414   |          1       0.24       0.24      97.16
        416   |          1       0.24       0.24      97.39
        417   |          1       0.24       0.24      97.63
        418   |          1       0.24       0.24      97.87
        419   |          1       0.24       0.24      98.10
        420   |          1       0.24       0.24      98.34
        421   |          1       0.24       0.24      98.58
        422   |          1       0.24       0.24      98.82
        423   |          1       0.24       0.24      99.05
        424   |          1       0.24       0.24      99.29
        425   |          1       0.24       0.24      99.53
        426   |          1       0.24       0.24      99.76
        427   |          1       0.24       0.24     100.00
        Total |        422     100.00     100.00           
-----------------------------------------------------------

. keep id NAME gemeindename kreis kreis_groupped 

. fre kreis

kreis -- Kreis
---------------------------------------------------------------------------
                              |      Freq.    Percent      Valid       Cum.
------------------------------+--------------------------------------------
Valid   Bergstra�e            |         22       5.21       5.21       5.21
        Darmstadt-Dieburg     |         23       5.45       5.45      10.66
        Fulda                 |         23       5.45       5.45      16.11
        Gie�en                |         18       4.27       4.27      20.38
        Gro�-Gerau            |         14       3.32       3.32      23.70
        Hersfeld-Rotenburg    |         20       4.74       4.74      28.44
        Hochtaunuskreis       |         13       3.08       3.08      31.52
        Kassel                |         29       6.87       6.87      38.39
        Lahn-Dill-Kreis       |         23       5.45       5.45      43.84
        Limburg-Weilburg      |         19       4.50       4.50      48.34
        Main-Kinzig-Kreis     |         29       6.87       6.87      55.21
        Main-Taunus-Kreis     |         12       2.84       2.84      58.06
        Marburg-Biedenkopf    |         22       5.21       5.21      63.27
        Odenwaldkreis         |         16       3.79       3.79      67.06
        Offenbach             |         13       3.08       3.08      70.14
        Rheingau-Taunus-Kreis |         17       4.03       4.03      74.17
        Schwalm-Eder-Kreis    |         27       6.40       6.40      80.57
        Vogelbergskreis       |         19       4.50       4.50      85.07
        Waldeck-Frankenberg   |         22       5.21       5.21      90.28
        Werra-Mei�ner-Kreis   |         16       3.79       3.79      94.08
        Wetteraukreis         |         25       5.92       5.92     100.00
        Total                 |        422     100.00     100.00           
---------------------------------------------------------------------------

. save `"New data on Hesse\geminde_base.dta"', replace // This will be merged with the original data on Landratswahlen
file New data on Hesse\geminde_base.dta saved

. 
. *Creation of the dataset of Landratswahlen
. import excel  using `"New data on Hesse\Übersicht_BM_2020.xlsx"', sheet(Landratswahlen) first clear
(158 vars, 120 obs)

. keep NAME STICHWAHL WAHLTAG WAHLBETEILIGUNG WAHLBERECHTIGTE WAEHLER UNG I

. gen kreis = NAME

. drop NAME 

. sort kreis 

. egen kreis_groupped = group(kreis)

. joinby kreis_groupped using `"New data on Hesse\geminde_base.dta"' // Worked 132 Bergstrase

. gen Election_type = "Landratswahlen"

. drop if WAHLTAG<21185 & NAME=="Oberzent, Stadt" // Oberzent was created only on 01/01/2018 (21185 in SIF), there were thus no p
> re-2018 kreis-level elections specific to this municipality 
(5 observations deleted)

. save `"New data on Hesse\Landratswahlen_to_append.dta"', replace
file New data on Hesse\Landratswahlen_to_append.dta saved

. 
. *******  Preparing referenda 
. 
. * Preparation of the municipality base for referendums
. use `"New data on Hesse\Übersicht_BM_2020_geminde.dta"', replace

. bysort id: gen temp1 = _n 

. keep if temp1 == 1 
(1,994 observations deleted)

. drop temp1

. fre id // 422 cities, that's correct (5 "kreisfreie Stadt" are removed)

id
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   1     |          1       0.23       0.23       0.23
        2     |          1       0.23       0.23       0.47
        3     |          1       0.23       0.23       0.70
        4     |          1       0.23       0.23       0.94
        5     |          1       0.23       0.23       1.17
        6     |          1       0.23       0.23       1.41
        7     |          1       0.23       0.23       1.64
        8     |          1       0.23       0.23       1.87
        9     |          1       0.23       0.23       2.11
        10    |          1       0.23       0.23       2.34
        11    |          1       0.23       0.23       2.58
        12    |          1       0.23       0.23       2.81
        13    |          1       0.23       0.23       3.04
        14    |          1       0.23       0.23       3.28
        15    |          1       0.23       0.23       3.51
        16    |          1       0.23       0.23       3.75
        17    |          1       0.23       0.23       3.98
        18    |          1       0.23       0.23       4.22
        19    |          1       0.23       0.23       4.45
        20    |          1       0.23       0.23       4.68
        :     |          :          :          :          :
        408   |          1       0.23       0.23      95.55
        409   |          1       0.23       0.23      95.78
        410   |          1       0.23       0.23      96.02
        411   |          1       0.23       0.23      96.25
        412   |          1       0.23       0.23      96.49
        413   |          1       0.23       0.23      96.72
        414   |          1       0.23       0.23      96.96
        415   |          1       0.23       0.23      97.19
        416   |          1       0.23       0.23      97.42
        417   |          1       0.23       0.23      97.66
        418   |          1       0.23       0.23      97.89
        419   |          1       0.23       0.23      98.13
        420   |          1       0.23       0.23      98.36
        421   |          1       0.23       0.23      98.59
        422   |          1       0.23       0.23      98.83
        423   |          1       0.23       0.23      99.06
        424   |          1       0.23       0.23      99.30
        425   |          1       0.23       0.23      99.53
        426   |          1       0.23       0.23      99.77
        427   |          1       0.23       0.23     100.00
        Total |        427     100.00     100.00           
-----------------------------------------------------------

. keep id NAME gemeindename kreis kreis_groupped 

. fre kreis

kreis -- Kreis
----------------------------------------------------------------------------------
                                     |      Freq.    Percent      Valid       Cum.
-------------------------------------+--------------------------------------------
Valid   Bergstra�e                   |         22       5.15       5.15       5.15
        Darmstadt (kreisfreie Stadt) |          1       0.23       0.23       5.39
        Darmstadt-Dieburg            |         23       5.39       5.39      10.77
        Frankfurt (kreisfreie Stadt) |          1       0.23       0.23      11.01
        Fulda                        |         23       5.39       5.39      16.39
        Gie�en                       |         18       4.22       4.22      20.61
        Gro�-Gerau                   |         14       3.28       3.28      23.89
        Hersfeld-Rotenburg           |         20       4.68       4.68      28.57
        Hochtaunuskreis              |         13       3.04       3.04      31.62
        Kassel                       |         29       6.79       6.79      38.41
        Kassel (kreisfreie Stadt)    |          1       0.23       0.23      38.64
        Lahn-Dill-Kreis              |         23       5.39       5.39      44.03
        Limburg-Weilburg             |         19       4.45       4.45      48.48
        Main-Kinzig-Kreis            |         29       6.79       6.79      55.27
        Main-Taunus-Kreis            |         12       2.81       2.81      58.08
        Marburg-Biedenkopf           |         22       5.15       5.15      63.23
        Odenwaldkreis                |         16       3.75       3.75      66.98
        Offenbach                    |         13       3.04       3.04      70.02
        Offenbach (kreisfreie Stadt) |          1       0.23       0.23      70.26
        Rheingau-Taunus-Kreis        |         17       3.98       3.98      74.24
        Schwalm-Eder-Kreis           |         27       6.32       6.32      80.56
        Vogelbergskreis              |         19       4.45       4.45      85.01
        Waldeck-Frankenberg          |         22       5.15       5.15      90.16
        Werra-Mei�ner-Kreis          |         16       3.75       3.75      93.91
        Wetteraukreis                |         25       5.85       5.85      99.77
        Wiesbaden (kreisfreie Stadt) |          1       0.23       0.23     100.00
        Total                        |        427     100.00     100.00           
----------------------------------------------------------------------------------

. save `"New data on Hesse\geminde_base_2.dta"', replace // This will be merged with the Referendums (by contrast to geminde_base
> , we include "kreisfreie Stadt")
file New data on Hesse\geminde_base_2.dta saved

. 
. 
. import excel using  `"New data on Hesse\Buergerentscheide_Stand_16022020.xlsx"', sheet(Version_for_upload) first clear
(186 vars, 336 obs)

. drop if Voted ==. 
(168 observations deleted)

.  keep ANZAHL Stat_digit NAME WAHLTAG WAHLBERECHTIGTE Voted WAHLBETEILIGUNG Invalid Invalid_share Valid Yes Yes_share No No_shar
> e

. gen Election_type = "Bürgerentscheide"

. destring WAHLBERECHTIGTE , replace
WAHLBERECHTIGTE: all characters numeric; replaced as long

. *The following standardize municipalities' names
. replace NAME = "Bad Homburg v. d. Höhe, Stadt" if NAME =="Bad Homburg v.d. Höhe, Stadt"
(1 real change made)

. replace NAME = "Neu-Anspach, Stadt" if NAME =="Neu-Anspach"
(1 real change made)

. replace NAME = "Pohlheim, Stadt" if NAME =="Pohlheim"
(1 real change made)

. replace NAME = "Rimbach" if NAME =="Rimbach im Odenwald"
(1 real change made)

. replace NAME = "Schwalbach am Taunus, Stadt" if NAME =="Schwalbach am Taunus"
(1 real change made)

. replace NAME = "Wetter (Hessen), Stadt" if NAME == "Wetter (Hessen)"
(1 real change made)

. merge m:1 NAME using `"New data on Hesse\geminde_base_2.dta"' // all matched, good 
(variable NAME was str36, now str45 to accommodate using data's values)

    Result                      Number of obs
    -----------------------------------------
    Not matched                           296
        from master                         0  (_merge==1)
        from using                        296  (_merge==2)

    Matched                               168  (_merge==3)
    -----------------------------------------

. keep if _merge == 3
(296 observations deleted)

. save `"New data on Hesse\Burgerentscheide_to_append.dta"', replace
file New data on Hesse\Burgerentscheide_to_append.dta saved

. 
. *Preparation of Garmann (we will use mostly for pre-2017 federal elections)
. 
. ****************************************
. * Merging all local elections together * 
. ****************************************
. 
. use `"New data on Hesse\Übersicht_BM_2020_geminde.dta"', clear // Municipal  

. gen Election_type = "Burgermeisterwahlen"

. append using `"New data on Hesse\Landratswahlen_to_append.dta"' // Kreis 

. append using `"New data on Hesse\Burgerentscheide_to_append.dta"' // Local Referendum 

. egen temp1 = group(NAME) // Check: That's correct, 427 municipalities 

. fre temp1   

temp1 -- group(NAME)
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   1     |         14       0.28       0.28       0.28
        2     |         14       0.28       0.28       0.56
        3     |          9       0.18       0.18       0.74
        4     |         11       0.22       0.22       0.96
        5     |         11       0.22       0.22       1.18
        6     |         11       0.22       0.22       1.40
        7     |         12       0.24       0.24       1.64
        8     |         15       0.30       0.30       1.94
        9     |         14       0.28       0.28       2.22
        10    |         12       0.24       0.24       2.46
        11    |         13       0.26       0.26       2.72
        12    |         13       0.26       0.26       2.97
        13    |         13       0.26       0.26       3.23
        14    |         11       0.22       0.22       3.45
        15    |         15       0.30       0.30       3.75
        16    |         14       0.28       0.28       4.03
        17    |         10       0.20       0.20       4.23
        18    |         14       0.28       0.28       4.51
        19    |         12       0.24       0.24       4.75
        20    |         14       0.28       0.28       5.03
        :     |          :          :          :          :
        408   |         12       0.24       0.24      95.63
        409   |         11       0.22       0.22      95.85
        410   |         13       0.26       0.26      96.11
        411   |         10       0.20       0.20      96.31
        412   |         11       0.22       0.22      96.53
        413   |          9       0.18       0.18      96.71
        414   |         13       0.26       0.26      96.97
        415   |         12       0.24       0.24      97.21
        416   |          9       0.18       0.18      97.38
        417   |         10       0.20       0.20      97.58
        418   |         10       0.20       0.20      97.78
        419   |          9       0.18       0.18      97.96
        420   |         16       0.32       0.32      98.28
        421   |         12       0.24       0.24      98.52
        422   |         10       0.20       0.20      98.72
        423   |         13       0.26       0.26      98.98
        424   |         14       0.28       0.28      99.26
        425   |         14       0.28       0.28      99.54
        426   |          9       0.18       0.18      99.72
        427   |         14       0.28       0.28     100.00
        Total |       5009     100.00     100.00           
-----------------------------------------------------------

. keep  NAME gemeindename STICHWAHL WAHLTAG WAHLBERECHTIGTE WAHLBETEILIGUNG kreis kreis_groupped Election_type // Keeping only es
> sential variables

. 
. *Adapt to the format of Garmann's dataset 
. rename (WAHLBETEILIGUNG STICHWAHL Election_type) (turnout runoff local_type)

. gen e_date = WAHLTAG 

. format e_date %1.0f // to see the dates as SIF

. 
. save `"New data on Hesse\all_local.dta"', replace // Saving the new combined file 
file New data on Hesse\all_local.dta saved

. 
. 
. ****************************
. * Preparing Garmann's data * 
. ****************************
.  
. use Election_frequency.dta, clear

. encode artderwahl, gen(artderwahlb) // recode as categorical Variable

. replace datum = "27.1.2008" if datum == "27.01.2008" // for consistency (zeroes are not used for the other dates)  
(1 real change made)

. encode datum, gen(election_fixed)

. *Getting dates of the national elections as variables
. gen e_date = date(datum, "DMY")

. 
. //// Building the dataset ////
> append using `"New data on Hesse\all_local.dta"'
(variable turnout was float, now double to accommodate using data's values)

. drop if e_date >= 19624 // We keep only election up to the Federal elections of 2013 (on 19623 in SIF) 
(1,582 observations deleted)

. 
. *Adding the European Election of 1989 
. expand 2 if artderwahlb ==2 & jahr==1994, gen(exp)
(426 observations created)

. di date("18/06/1989", "DMY") //  in Stata format  
10761

. replace e_date = 10761 if exp==1 
(426 real changes made)

. replace datum ="18/06/1989" if exp==1
(426 real changes made)

. replace turnout = . if exp==1 
(426 real changes made, 426 to missing)

. drop exp

. 
. *Adding the Federal election of 1990
. expand 2 if artderwahlb ==1 & jahr==1994, gen(exp)
(426 observations created)

. di date("02/12/1990", "DMY") //  in Stata format  
11293

. replace e_date = 11293 if exp==1 
(426 real changes made)

. replace datum ="02/12/1990" if exp==1
(426 real changes made)

. replace turnout = . if exp==1  
(426 real changes made, 426 to missing)

. drop exp

. 
. *Adding the state election of 1991: 
. expand 2 if artderwahlb ==4 & jahr==1995, gen(exp)
(426 observations created)

. di date("20/01/1991", "DMY") // 11342 in Stata format   
11342

. replace e_date = 11342 if exp==1 
(426 real changes made)

. replace datum = "20/01/1991" if exp==1
(426 real changes made)

. replace turnout = . if exp==1 
(426 real changes made, 426 to missing)

. drop exp

. 
. *Adding the local election of 1993: 
. expand 2 if artderwahlb ==3 & jahr==1997, gen(exp)
(426 observations created)

. di date("07/03/1993", "DMY") // 11342 in Stata format   
12119

. replace e_date = 12119 if exp==1 
(426 real changes made)

. replace datum = "07/03/1993" if exp==1
(426 real changes made)

. replace turnout = . if exp==1 
(426 real changes made, 426 to missing)

. drop exp

. 
. 
. //// Checking Joint Elections ////
> 
. by e_date gemeindename, sort: gen nvals = _n == 1

. count if nvals == 0 // 1220 joint elections
  1,220

. tab nvals jahr

           |                                                Jahr
     nvals |      1994       1995       1997       1998       1999       2001       2002       2003       2004 |     Total
-----------+---------------------------------------------------------------------------------------------------+----------
         0 |         4          3         57          1         10         23         11         30          5 |       746 
         1 |     1,700        849        795        425        842        403        415        396        421 |     9,478 
-----------+---------------------------------------------------------------------------------------------------+----------
     Total |     1,704        852        852        426        852        426        426        426        426 |    10,224 


           |                               Jahr
     nvals |      2005       2006       2008       2009       2011       2013 |     Total
-----------+------------------------------------------------------------------+----------
         0 |         1         44         23         41         48        445 |       746 
         1 |       425        382        403      1,237        378        407 |     9,478 
-----------+------------------------------------------------------------------+----------
     Total |       426        426        426      1,278        426        852 |    10,224 

. sort gemeindename e_date 

. *list gemeindename e_date WAHLTAG datum artderwahlb local_type  nvals
. 
. egen group = group(gemeindename e_date) 

. 
. *Organize election by importance
. fre local_type

local_type
-------------------------------------------------------------------------
                            |      Freq.    Percent      Valid       Cum.
----------------------------+--------------------------------------------
Valid   Burgermeisterwahlen |       1868      13.27      48.48      48.48
        Bürgerentscheide    |        124       0.88       3.22      51.70
        Landratswahlen      |       1861      13.22      48.30     100.00
        Total               |       3853      27.37     100.00           
Missing                     |      10224      72.63                      
Total                       |      14077     100.00                      
-------------------------------------------------------------------------

. recode artderwahlb (3=4) (4=3), gen(rank)
(5112 differences between artderwahlb and rank)

. replace rank = 5 if local_type == "Landratswahlen"
(1,861 real changes made)

. replace rank = 6 if local_type == "Burgermeisterwahlen"
(1,868 real changes made)

. replace rank = 7 if local_type == "Bürgerentscheide" 
(124 real changes made)

. label define rank 1 "Bundestagswahl" 2 "Europawahl" 3 "Landtagswahl" 4 "Kommunalwahl" 5 "Landratswahlen" 6 "Burgermeisterwahlen
> " 7 "Bürgerentscheide"

. label values rank rank 

. fre rank // 14077 municipality-election observations (with 426 municipalities, that's 33 per municipality on average) 

rank -- RECODE of artderwahlb (Art der Wahl)
---------------------------------------------------------------------------
                              |      Freq.    Percent      Valid       Cum.
------------------------------+--------------------------------------------
Valid   1 Bundestagswahl      |       2982      21.18      21.18      21.18
        2 Europawahl          |       2130      15.13      15.13      36.31
        3 Landtagswahl        |       2982      21.18      21.18      57.50
        4 Kommunalwahl        |       2130      15.13      15.13      72.63
        5 Landratswahlen      |       1861      13.22      13.22      85.85
        6 Burgermeisterwahlen |       1868      13.27      13.27      99.12
        7 Bürgerentscheide    |        124       0.88       0.88     100.00
        Total                 |      14077     100.00     100.00           
---------------------------------------------------------------------------

. 
. sort group rank 

. quietly by group:  gen rank2 = cond(_N==1,0,_n)

. recode rank2 (0 =.), generate (rankgroup) 
(11718 differences between rank2 and rankgroup)

. drop rank2 

. 
. * labels 
. label var group "Groups by elections date and municipality"

. label var rank "Rank based on the election-type hierarchy" // 

. label var rankgroup "Rank within the group by rank"

.  
. /* joint elections */
. * re-grouping joint elections
. sum rankgroup // max 3

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
   rankgroup |      2,359    1.551505    .5622761          1          3

. gen joint_el1 = rank[_n+1] if rankgroup == 1 & rankgroup[_n+1] == 2 & group == group[_n+1]
(12,938 missing values generated)

. gen joint_el2 = rank[_n+2] if rankgroup == 1& rankgroup[_n+2] == 3& group == group[_n+2]
(13,996 missing values generated)

. 
. * labels 
. lab val joint_el1 rank 

. lab val joint_el2 rank 

. label var joint_el1 "2nd simultaneous elections"

. 
. * delete 2nd and 3rd elections 
. drop if rankgroup > 1 & rankgroup != . // 1220 observations deleted => this matches the 1220 joint election (observed above) 
(1,220 observations deleted)

. fre joint_el1 joint_el2 // summary of 2nd and 3rd simultaneous elections 

joint_el1 -- 2nd simultaneous elections
---------------------------------------------------------------------------
                              |      Freq.    Percent      Valid       Cum.
------------------------------+--------------------------------------------
Valid   3 Landtagswahl        |        426       3.31      37.40      37.40
        5 Landratswahlen      |        399       3.10      35.03      72.43
        6 Burgermeisterwahlen |        299       2.33      26.25      98.68
        7 Bürgerentscheide    |         15       0.12       1.32     100.00
        Total                 |       1139       8.86     100.00           
Missing .                     |      11718      91.14                      
Total                         |      12857     100.00                      
---------------------------------------------------------------------------

joint_el2
---------------------------------------------------------------------------
                              |      Freq.    Percent      Valid       Cum.
------------------------------+--------------------------------------------
Valid   5 Landratswahlen      |         22       0.17      27.16      27.16
        6 Burgermeisterwahlen |         57       0.44      70.37      97.53
        7 Bürgerentscheide    |          2       0.02       2.47     100.00
        Total                 |         81       0.63     100.00           
Missing .                     |      12776      99.37                      
Total                         |      12857     100.00                      
---------------------------------------------------------------------------

. list rank joint_el1 joint_el2 if joint_el1!=. // to see all combinations 

       +-----------------------------------------------------------------+
       |                rank             joint_el1             joint_el2 |
       |-----------------------------------------------------------------|
    9. |        Landtagswahl   Burgermeisterwahlen                     . |
   16. |        Kommunalwahl   Burgermeisterwahlen                     . |
   29. |        Kommunalwahl        Landratswahlen                     . |
   32. |      Bundestagswahl          Landtagswahl                     . |
   43. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
   46. |        Landtagswahl   Burgermeisterwahlen                     . |
   58. |          Europawahl        Landratswahlen                     . |
   61. |        Kommunalwahl   Burgermeisterwahlen                     . |
   62. |      Bundestagswahl          Landtagswahl                     . |
   71. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
   76. |      Bundestagswahl   Burgermeisterwahlen                     . |
   77. |        Landtagswahl        Landratswahlen                     . |
   89. |      Bundestagswahl          Landtagswahl                     . |
   99. |        Kommunalwahl        Landratswahlen                     . |
  104. |      Bundestagswahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
  106. |        Landtagswahl        Landratswahlen                     . |
  117. |      Bundestagswahl          Landtagswahl                     . |
  149. |      Bundestagswahl          Landtagswahl                     . |
  175. |          Europawahl        Landratswahlen                     . |
  177. |        Kommunalwahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
  179. |      Bundestagswahl          Landtagswahl                     . |
  188. |        Kommunalwahl        Landratswahlen                     . |
  192. |        Kommunalwahl   Burgermeisterwahlen                     . |
  210. |      Bundestagswahl          Landtagswahl                     . |
  215. |      Landratswahlen   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
  233. |        Kommunalwahl        Landratswahlen                     . |
  244. |      Bundestagswahl          Landtagswahl                     . |
  266. |        Kommunalwahl   Burgermeisterwahlen                     . |
  267. |        Landtagswahl        Landratswahlen                     . |
  274. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
  303. |        Kommunalwahl   Burgermeisterwahlen                     . |
  305. |      Bundestagswahl          Landtagswahl        Landratswahlen |
  333. |        Kommunalwahl   Burgermeisterwahlen                     . |
  336. |      Bundestagswahl          Landtagswahl        Landratswahlen |
  359. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
  368. |      Bundestagswahl          Landtagswahl   Burgermeisterwahlen |
  390. |        Kommunalwahl        Landratswahlen                     . |
  399. |      Bundestagswahl          Landtagswahl                     . |
  408. |        Kommunalwahl        Landratswahlen                     . |
  430. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
  465. |      Bundestagswahl          Landtagswahl                     . |
  480. |        Kommunalwahl        Landratswahlen                     . |
  484. |          Europawahl   Burgermeisterwahlen                     . |
  497. |      Bundestagswahl          Landtagswahl                     . |
  506. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
  514. |        Landtagswahl        Landratswahlen                     . |
  517. |        Kommunalwahl   Burgermeisterwahlen                     . |
  525. |      Bundestagswahl          Landtagswahl                     . |
  546. |      Bundestagswahl   Burgermeisterwahlen                     . |
  557. |      Bundestagswahl          Landtagswahl        Landratswahlen |
       |-----------------------------------------------------------------|
  567. |        Kommunalwahl        Landratswahlen                     . |
  574. |        Landtagswahl        Landratswahlen                     . |
  587. |      Bundestagswahl          Landtagswahl                     . |
  610. |        Kommunalwahl        Landratswahlen                     . |
  619. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
  628. |        Kommunalwahl        Landratswahlen                     . |
  630. |        Landtagswahl   Burgermeisterwahlen                     . |
  635. |        Landtagswahl        Landratswahlen                     . |
  645. |        Kommunalwahl   Burgermeisterwahlen                     . |
  646. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
  655. |        Kommunalwahl        Landratswahlen                     . |
  663. |        Landtagswahl        Landratswahlen                     . |
  677. |      Bundestagswahl          Landtagswahl                     . |
  701. |          Europawahl      Bürgerentscheide                     . |
  706. |        Landtagswahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
  711. |        Kommunalwahl   Burgermeisterwahlen                     . |
  714. |      Bundestagswahl          Landtagswahl                     . |
  744. |        Kommunalwahl        Landratswahlen                     . |
  746. |      Bundestagswahl          Landtagswahl                     . |
  777. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
  807. |        Kommunalwahl        Landratswahlen                     . |
  809. |      Bundestagswahl          Landtagswahl   Burgermeisterwahlen |
  835. |      Bundestagswahl   Burgermeisterwahlen                     . |
  836. |        Kommunalwahl        Landratswahlen                     . |
  837. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
  866. |        Kommunalwahl        Landratswahlen                     . |
  869. |      Bundestagswahl          Landtagswahl                     . |
  885. |      Bundestagswahl   Burgermeisterwahlen                     . |
  889. |        Kommunalwahl        Landratswahlen                     . |
  897. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
  915. |      Landratswahlen   Burgermeisterwahlen                     . |
  919. |        Landtagswahl        Landratswahlen                     . |
  927. |      Bundestagswahl          Landtagswahl                     . |
  950. |        Kommunalwahl   Burgermeisterwahlen                     . |
  960. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
  989. |        Kommunalwahl   Burgermeisterwahlen                     . |
  990. |      Bundestagswahl          Landtagswahl                     . |
 1022. |      Bundestagswahl          Landtagswahl                     . |
 1031. |        Kommunalwahl        Landratswahlen                     . |
 1033. |        Landtagswahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 1037. |        Landtagswahl        Landratswahlen                     . |
 1047. |        Kommunalwahl   Burgermeisterwahlen                     . |
 1048. |      Bundestagswahl          Landtagswahl                     . |
 1057. |        Kommunalwahl        Landratswahlen                     . |
 1064. |        Landtagswahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 1076. |      Bundestagswahl          Landtagswahl   Burgermeisterwahlen |
 1085. |        Kommunalwahl        Landratswahlen                     . |
 1093. |        Landtagswahl        Landratswahlen                     . |
 1096. |        Kommunalwahl   Burgermeisterwahlen                     . |
 1105. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 1114. |        Kommunalwahl        Landratswahlen                     . |
 1131. |          Europawahl        Landratswahlen                     . |
 1135. |      Bundestagswahl          Landtagswahl                     . |
 1151. |      Bundestagswahl   Burgermeisterwahlen                     . |
 1155. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 1163. |      Bundestagswahl          Landtagswahl                     . |
 1177. |        Kommunalwahl        Landratswahlen                     . |
 1194. |      Bundestagswahl          Landtagswahl                     . |
 1203. |        Kommunalwahl        Landratswahlen                     . |
 1219. |          Europawahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 1222. |      Bundestagswahl          Landtagswahl   Burgermeisterwahlen |
 1232. |        Kommunalwahl        Landratswahlen                     . |
 1252. |      Bundestagswahl          Landtagswahl                     . |
 1279. |      Bundestagswahl   Burgermeisterwahlen                     . |
 1281. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 1283. |      Bundestagswahl          Landtagswahl                     . |
 1312. |          Europawahl        Landratswahlen                     . |
 1316. |      Bundestagswahl          Landtagswahl                     . |
 1348. |      Bundestagswahl          Landtagswahl                     . |
 1380. |      Bundestagswahl          Landtagswahl        Landratswahlen |
       |-----------------------------------------------------------------|
 1388. |        Kommunalwahl        Landratswahlen                     . |
 1397. |      Landratswahlen   Burgermeisterwahlen                     . |
 1403. |        Landtagswahl   Burgermeisterwahlen                     . |
 1405. |          Europawahl        Landratswahlen                     . |
 1408. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 1438. |        Kommunalwahl        Landratswahlen                     . |
 1440. |      Bundestagswahl          Landtagswahl   Burgermeisterwahlen |
 1463. |        Kommunalwahl        Landratswahlen                     . |
 1472. |      Bundestagswahl          Landtagswahl                     . |
 1481. |      Landratswahlen   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 1500. |        Kommunalwahl   Burgermeisterwahlen                     . |
 1501. |      Bundestagswahl          Landtagswahl                     . |
 1529. |        Kommunalwahl   Burgermeisterwahlen                     . |
 1530. |      Bundestagswahl          Landtagswahl                     . |
 1545. |        Kommunalwahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 1560. |        Kommunalwahl        Landratswahlen                     . |
 1563. |      Bundestagswahl          Landtagswahl                     . |
 1570. |      Bundestagswahl   Burgermeisterwahlen                     . |
 1584. |        Kommunalwahl        Landratswahlen                     . |
 1595. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 1609. |        Kommunalwahl        Landratswahlen                     . |
 1625. |      Bundestagswahl          Landtagswahl                     . |
 1656. |      Bundestagswahl          Landtagswahl        Landratswahlen |
 1665. |        Kommunalwahl        Landratswahlen                     . |
 1672. |        Landtagswahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 1676. |        Landtagswahl   Burgermeisterwahlen                     . |
 1683. |      Bundestagswahl          Landtagswahl                     . |
 1705. |        Kommunalwahl        Landratswahlen                     . |
 1707. |        Landtagswahl   Burgermeisterwahlen                     . |
 1713. |      Bundestagswahl          Landtagswahl   Burgermeisterwahlen |
       |-----------------------------------------------------------------|
 1722. |        Kommunalwahl        Landratswahlen                     . |
 1728. |        Landtagswahl        Landratswahlen   Burgermeisterwahlen |
 1740. |      Bundestagswahl          Landtagswahl                     . |
 1749. |        Kommunalwahl        Landratswahlen                     . |
 1756. |        Landtagswahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 1768. |      Bundestagswahl          Landtagswahl   Burgermeisterwahlen |
 1777. |        Kommunalwahl        Landratswahlen                     . |
 1781. |        Kommunalwahl   Burgermeisterwahlen                     . |
 1783. |        Landtagswahl        Landratswahlen                     . |
 1794. |      Bundestagswahl          Landtagswahl   Burgermeisterwahlen |
       |-----------------------------------------------------------------|
 1803. |        Kommunalwahl        Landratswahlen                     . |
 1810. |        Landtagswahl        Landratswahlen                     . |
 1824. |      Bundestagswahl          Landtagswahl                     . |
 1843. |          Europawahl   Burgermeisterwahlen                     . |
 1854. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 1885. |        Kommunalwahl        Landratswahlen                     . |
 1887. |      Bundestagswahl          Landtagswahl                     . |
 1917. |      Bundestagswahl          Landtagswahl                     . |
 1948. |      Bundestagswahl          Landtagswahl                     . |
 1955. |      Bundestagswahl      Bürgerentscheide                     . |
       |-----------------------------------------------------------------|
 1969. |      Landratswahlen   Burgermeisterwahlen                     . |
 1975. |          Europawahl        Landratswahlen                     . |
 1976. |      Bundestagswahl   Burgermeisterwahlen                     . |
 1978. |      Bundestagswahl          Landtagswahl                     . |
 1987. |      Landratswahlen   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 1988. |      Landratswahlen   Burgermeisterwahlen                     . |
 1995. |      Landratswahlen   Burgermeisterwahlen                     . |
 2001. |        Landtagswahl        Landratswahlen                     . |
 2008. |      Bundestagswahl          Landtagswahl                     . |
 2029. |      Landratswahlen   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 2034. |        Landtagswahl        Landratswahlen                     . |
 2038. |      Bundestagswahl   Burgermeisterwahlen                     . |
 2040. |      Bundestagswahl          Landtagswahl                     . |
 2049. |        Kommunalwahl        Landratswahlen                     . |
 2054. |        Kommunalwahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 2064. |          Europawahl        Landratswahlen                     . |
 2069. |      Bundestagswahl          Landtagswahl                     . |
 2084. |        Kommunalwahl   Burgermeisterwahlen                     . |
 2100. |      Bundestagswahl          Landtagswahl                     . |
 2110. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 2116. |      Bundestagswahl   Burgermeisterwahlen                     . |
 2117. |        Landtagswahl        Landratswahlen                     . |
 2128. |      Bundestagswahl          Landtagswahl                     . |
 2136. |        Kommunalwahl        Landratswahlen                     . |
 2137. |      Bundestagswahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 2141. |      Bundestagswahl   Burgermeisterwahlen                     . |
 2143. |        Landtagswahl        Landratswahlen                     . |
 2154. |      Bundestagswahl          Landtagswahl                     . |
 2186. |      Bundestagswahl          Landtagswahl        Landratswahlen |
 2212. |          Europawahl      Bürgerentscheide                     . |
       |-----------------------------------------------------------------|
 2214. |        Kommunalwahl   Burgermeisterwahlen                     . |
 2216. |      Bundestagswahl          Landtagswahl                     . |
 2248. |      Bundestagswahl          Landtagswahl        Landratswahlen |
 2258. |        Kommunalwahl        Landratswahlen                     . |
 2278. |        Kommunalwahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 2279. |      Bundestagswahl          Landtagswahl                     . |
 2310. |        Kommunalwahl   Burgermeisterwahlen                     . |
 2311. |      Bundestagswahl          Landtagswahl                     . |
 2331. |          Europawahl      Bürgerentscheide                     . |
 2332. |      Bundestagswahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 2342. |      Bundestagswahl          Landtagswahl                     . |
 2359. |        Kommunalwahl   Burgermeisterwahlen                     . |
 2371. |      Bundestagswahl        Landratswahlen   Burgermeisterwahlen |
 2372. |      Landratswahlen   Burgermeisterwahlen                     . |
 2374. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 2396. |        Kommunalwahl        Landratswahlen                     . |
 2405. |      Bundestagswahl          Landtagswahl                     . |
 2426. |        Kommunalwahl        Landratswahlen                     . |
 2435. |      Bundestagswahl          Landtagswahl                     . |
 2451. |      Bundestagswahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 2465. |      Bundestagswahl          Landtagswahl                     . |
 2480. |        Kommunalwahl        Landratswahlen                     . |
 2483. |        Landtagswahl   Burgermeisterwahlen                     . |
 2495. |      Bundestagswahl          Landtagswahl                     . |
 2523. |      Bundestagswahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 2527. |      Bundestagswahl          Landtagswahl                     . |
 2548. |        Kommunalwahl        Landratswahlen                     . |
 2558. |      Bundestagswahl          Landtagswahl                     . |
 2588. |      Bundestagswahl          Landtagswahl                     . |
 2606. |          Europawahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 2617. |      Bundestagswahl          Landtagswahl        Landratswahlen |
 2641. |        Landtagswahl        Landratswahlen                     . |
 2647. |      Bundestagswahl          Landtagswahl   Burgermeisterwahlen |
 2662. |      Landratswahlen   Burgermeisterwahlen                     . |
 2668. |        Landtagswahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 2674. |      Bundestagswahl          Landtagswahl                     . |
 2685. |      Landratswahlen      Bürgerentscheide                     . |
 2707. |      Bundestagswahl          Landtagswahl                     . |
 2731. |        Kommunalwahl   Burgermeisterwahlen                     . |
 2735. |      Bundestagswahl        Landratswahlen      Bürgerentscheide |
       |-----------------------------------------------------------------|
 2740. |      Bundestagswahl          Landtagswahl                     . |
 2755. |        Kommunalwahl   Burgermeisterwahlen                     . |
 2770. |      Bundestagswahl          Landtagswahl                     . |
 2791. |        Kommunalwahl        Landratswahlen                     . |
 2801. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 2825. |        Landtagswahl   Burgermeisterwahlen                     . |
 2832. |      Bundestagswahl          Landtagswahl                     . |
 2842. |        Kommunalwahl        Landratswahlen                     . |
 2858. |          Europawahl        Landratswahlen                     . |
 2861. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 2883. |        Kommunalwahl   Burgermeisterwahlen                     . |
 2891. |      Bundestagswahl          Landtagswahl                     . |
 2905. |        Kommunalwahl        Landratswahlen                     . |
 2907. |      Bundestagswahl   Burgermeisterwahlen                     . |
 2920. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 2944. |        Kommunalwahl   Burgermeisterwahlen                     . |
 2950. |        Kommunalwahl        Landratswahlen                     . |
 2953. |      Bundestagswahl          Landtagswahl                     . |
 2968. |        Kommunalwahl        Landratswahlen                     . |
 2984. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 2993. |        Kommunalwahl        Landratswahlen                     . |
 3013. |      Bundestagswahl          Landtagswahl                     . |
 3039. |          Europawahl   Burgermeisterwahlen                     . |
 3041. |        Kommunalwahl        Landratswahlen                     . |
 3042. |      Bundestagswahl          Landtagswahl   Burgermeisterwahlen |
       |-----------------------------------------------------------------|
 3052. |        Kommunalwahl        Landratswahlen                     . |
 3060. |        Landtagswahl        Landratswahlen                     . |
 3063. |        Kommunalwahl   Burgermeisterwahlen                     . |
 3074. |      Bundestagswahl          Landtagswahl                     . |
 3105. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 3107. |      Bundestagswahl          Landtagswahl   Burgermeisterwahlen |
 3116. |        Kommunalwahl        Landratswahlen                     . |
 3136. |      Bundestagswahl          Landtagswahl                     . |
 3144. |      Landratswahlen   Burgermeisterwahlen                     . |
 3164. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 3166. |      Bundestagswahl          Landtagswahl   Burgermeisterwahlen |
 3188. |        Kommunalwahl        Landratswahlen                     . |
 3197. |      Bundestagswahl          Landtagswahl                     . |
 3206. |        Kommunalwahl   Burgermeisterwahlen                     . |
 3217. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 3220. |          Europawahl   Burgermeisterwahlen                     . |
 3225. |      Bundestagswahl          Landtagswahl                     . |
 3234. |        Kommunalwahl        Landratswahlen                     . |
 3240. |      Bundestagswahl      Bürgerentscheide                     . |
 3241. |        Landtagswahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 3245. |        Landtagswahl   Burgermeisterwahlen                     . |
 3251. |      Bundestagswahl          Landtagswahl   Burgermeisterwahlen |
 3273. |          Europawahl   Burgermeisterwahlen                     . |
 3275. |        Kommunalwahl        Landratswahlen                     . |
 3284. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 3314. |      Bundestagswahl          Landtagswahl                     . |
 3320. |      Bundestagswahl   Burgermeisterwahlen                     . |
 3332. |      Landratswahlen   Burgermeisterwahlen                     . |
 3339. |          Europawahl        Landratswahlen   Burgermeisterwahlen |
 3342. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 3351. |        Kommunalwahl        Landratswahlen                     . |
 3354. |          Europawahl   Burgermeisterwahlen                     . |
 3368. |        Kommunalwahl   Burgermeisterwahlen                     . |
 3369. |      Bundestagswahl          Landtagswahl                     . |
 3400. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 3422. |        Kommunalwahl   Burgermeisterwahlen                     . |
 3423. |        Landtagswahl        Landratswahlen                     . |
 3430. |      Bundestagswahl          Landtagswahl                     . |
 3460. |        Kommunalwahl        Landratswahlen                     . |
 3464. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 3479. |        Kommunalwahl   Burgermeisterwahlen                     . |
 3494. |        Kommunalwahl        Landratswahlen                     . |
 3497. |      Bundestagswahl          Landtagswahl                     . |
 3508. |      Landratswahlen      Bürgerentscheide                     . |
 3529. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 3559. |      Bundestagswahl   Burgermeisterwahlen                     . |
 3562. |      Bundestagswahl          Landtagswahl                     . |
 3575. |        Kommunalwahl   Burgermeisterwahlen                     . |
 3590. |      Bundestagswahl          Landtagswahl                     . |
 3613. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 3622. |      Bundestagswahl          Landtagswahl                     . |
 3654. |        Kommunalwahl        Landratswahlen                     . |
 3658. |      Bundestagswahl          Landtagswahl                     . |
 3683. |        Landtagswahl        Landratswahlen                     . |
 3690. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 3699. |        Kommunalwahl        Landratswahlen                     . |
 3706. |        Landtagswahl        Landratswahlen   Burgermeisterwahlen |
 3718. |      Bundestagswahl          Landtagswahl                     . |
 3727. |        Kommunalwahl   Burgermeisterwahlen                     . |
 3739. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 3747. |      Bundestagswahl          Landtagswahl                     . |
 3776. |      Bundestagswahl          Landtagswahl                     . |
 3798. |        Kommunalwahl   Burgermeisterwahlen                     . |
 3806. |      Bundestagswahl          Landtagswahl                     . |
 3832. |          Europawahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 3836. |      Bundestagswahl          Landtagswahl        Landratswahlen |
 3845. |        Kommunalwahl        Landratswahlen                     . |
 3847. |        Landtagswahl   Burgermeisterwahlen                     . |
 3852. |        Landtagswahl        Landratswahlen                     . |
 3863. |        Kommunalwahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 3865. |      Bundestagswahl          Landtagswahl                     . |
 3896. |      Bundestagswahl          Landtagswahl                     . |
 3905. |        Kommunalwahl        Landratswahlen                     . |
 3912. |        Landtagswahl        Landratswahlen                     . |
 3922. |        Kommunalwahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 3923. |      Bundestagswahl          Landtagswahl                     . |
 3932. |        Kommunalwahl        Landratswahlen                     . |
 3940. |        Landtagswahl        Landratswahlen                     . |
 3952. |      Bundestagswahl          Landtagswahl                     . |
 3961. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 3967. |      Bundestagswahl   Burgermeisterwahlen                     . |
 3976. |          Europawahl        Landratswahlen                     . |
 3979. |      Bundestagswahl          Landtagswahl                     . |
 4004. |        Landtagswahl        Landratswahlen                     . |
 4011. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 4041. |        Kommunalwahl        Landratswahlen                     . |
 4043. |      Bundestagswahl          Landtagswahl                     . |
 4073. |        Kommunalwahl        Landratswahlen                     . |
 4076. |      Bundestagswahl          Landtagswahl                     . |
 4101. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 4105. |      Bundestagswahl   Burgermeisterwahlen                     . |
 4109. |      Bundestagswahl          Landtagswahl                     . |
 4143. |      Bundestagswahl          Landtagswahl                     . |
 4174. |      Bundestagswahl          Landtagswahl                     . |
 4196. |      Landratswahlen   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 4205. |      Bundestagswahl          Landtagswahl                     . |
 4214. |      Landratswahlen   Burgermeisterwahlen                     . |
 4222. |      Landratswahlen   Burgermeisterwahlen                     . |
 4229. |          Europawahl        Landratswahlen   Burgermeisterwahlen |
 4232. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 4262. |      Bundestagswahl          Landtagswahl                     . |
 4271. |      Landratswahlen   Burgermeisterwahlen                     . |
 4278. |      Landratswahlen   Burgermeisterwahlen                     . |
 4286. |      Landratswahlen   Burgermeisterwahlen                     . |
 4288. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 4311. |        Landtagswahl   Burgermeisterwahlen                     . |
 4317. |      Bundestagswahl          Landtagswahl        Landratswahlen |
 4338. |        Kommunalwahl        Landratswahlen                     . |
 4346. |      Bundestagswahl          Landtagswahl                     . |
 4355. |      Landratswahlen   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 4363. |      Landratswahlen   Burgermeisterwahlen                     . |
 4367. |        Landtagswahl        Landratswahlen                     . |
 4371. |      Bundestagswahl   Burgermeisterwahlen                     . |
 4373. |      Bundestagswahl          Landtagswahl                     . |
 4382. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 4399. |          Europawahl        Landratswahlen                     . |
 4403. |      Bundestagswahl          Landtagswahl                     . |
 4413. |        Kommunalwahl        Landratswahlen                     . |
 4419. |      Bundestagswahl   Burgermeisterwahlen                     . |
 4428. |          Europawahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 4431. |      Bundestagswahl          Landtagswahl                     . |
 4455. |        Kommunalwahl        Landratswahlen                     . |
 4465. |      Bundestagswahl          Landtagswahl                     . |
 4488. |        Kommunalwahl        Landratswahlen                     . |
 4498. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 4506. |        Kommunalwahl        Landratswahlen                     . |
 4513. |        Landtagswahl        Landratswahlen                     . |
 4525. |      Bundestagswahl          Landtagswahl                     . |
 4531. |          Europawahl   Burgermeisterwahlen                     . |
 4546. |        Kommunalwahl        Landratswahlen   Burgermeisterwahlen |
       |-----------------------------------------------------------------|
 4547. |      Landratswahlen   Burgermeisterwahlen                     . |
 4553. |      Landratswahlen   Burgermeisterwahlen                     . |
 4554. |      Bundestagswahl          Landtagswahl                     . |
 4562. |        Kommunalwahl        Landratswahlen                     . |
 4582. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 4591. |        Kommunalwahl        Landratswahlen                     . |
 4603. |        Landtagswahl   Burgermeisterwahlen                     . |
 4609. |      Bundestagswahl          Landtagswahl                     . |
 4641. |      Bundestagswahl          Landtagswahl                     . |
 4650. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 4663. |        Landtagswahl   Burgermeisterwahlen                     . |
 4666. |          Europawahl        Landratswahlen                     . |
 4669. |      Bundestagswahl          Landtagswahl                     . |
 4678. |        Kommunalwahl        Landratswahlen                     . |
 4699. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 4710. |        Kommunalwahl        Landratswahlen                     . |
 4728. |        Kommunalwahl   Burgermeisterwahlen                     . |
 4729. |      Bundestagswahl          Landtagswahl                     . |
 4734. |      Landratswahlen   Burgermeisterwahlen                     . |
 4742. |      Landratswahlen   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 4748. |        Kommunalwahl        Landratswahlen   Burgermeisterwahlen |
 4754. |      Landratswahlen   Burgermeisterwahlen                     . |
 4755. |      Bundestagswahl          Landtagswahl                     . |
 4786. |      Bundestagswahl          Landtagswahl                     . |
 4818. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 4820. |      Bundestagswahl          Landtagswahl                     . |
 4842. |        Kommunalwahl        Landratswahlen                     . |
 4851. |      Bundestagswahl          Landtagswahl                     . |
 4860. |      Landratswahlen   Burgermeisterwahlen                     . |
 4868. |      Landratswahlen   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 4875. |          Europawahl        Landratswahlen                     . |
 4876. |      Bundestagswahl   Burgermeisterwahlen                     . |
 4878. |      Bundestagswahl          Landtagswahl                     . |
 4907. |        Kommunalwahl        Landratswahlen                     . |
 4910. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 4940. |      Bundestagswahl          Landtagswahl                     . |
 4970. |      Bundestagswahl          Landtagswahl                     . |
 4979. |        Kommunalwahl        Landratswahlen                     . |
 4986. |        Landtagswahl        Landratswahlen                     . |
 4997. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 5006. |        Kommunalwahl   Burgermeisterwahlen                     . |
 5010. |        Kommunalwahl        Landratswahlen                     . |
 5013. |        Landtagswahl   Burgermeisterwahlen                     . |
 5020. |          Europawahl   Burgermeisterwahlen                     . |
 5024. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 5046. |        Kommunalwahl        Landratswahlen                     . |
 5048. |        Landtagswahl   Burgermeisterwahlen                     . |
 5054. |      Bundestagswahl          Landtagswahl                     . |
 5087. |      Bundestagswahl          Landtagswahl                     . |
 5105. |      Landratswahlen      Bürgerentscheide                     . |
       |-----------------------------------------------------------------|
 5113. |      Bundestagswahl        Landratswahlen                     . |
 5118. |      Bundestagswahl          Landtagswahl                     . |
 5148. |        Kommunalwahl        Landratswahlen                     . |
 5150. |      Bundestagswahl          Landtagswahl                     . |
 5183. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 5186. |      Bundestagswahl          Landtagswahl                     . |
 5215. |        Kommunalwahl        Landratswahlen                     . |
 5218. |      Bundestagswahl          Landtagswahl                     . |
 5248. |        Kommunalwahl        Landratswahlen                     . |
 5249. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 5282. |      Bundestagswahl          Landtagswahl                     . |
 5290. |        Kommunalwahl        Landratswahlen                     . |
 5297. |        Landtagswahl        Landratswahlen                     . |
 5307. |      Bundestagswahl   Burgermeisterwahlen                     . |
 5309. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 5321. |        Kommunalwahl        Landratswahlen                     . |
 5325. |        Kommunalwahl   Burgermeisterwahlen                     . |
 5327. |        Landtagswahl        Landratswahlen                     . |
 5339. |      Bundestagswahl          Landtagswahl                     . |
 5370. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 5372. |    Bürgerentscheide      Bürgerentscheide                     . |
 5373. |      Bundestagswahl          Landtagswahl   Burgermeisterwahlen |
 5382. |        Kommunalwahl        Landratswahlen                     . |
 5387. |      Bundestagswahl   Burgermeisterwahlen                     . |
 5388. |        Landtagswahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 5399. |      Bundestagswahl          Landtagswahl                     . |
 5409. |        Kommunalwahl        Landratswahlen                     . |
 5413. |          Europawahl   Burgermeisterwahlen                     . |
 5425. |          Europawahl        Landratswahlen                     . |
 5427. |        Kommunalwahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 5429. |      Bundestagswahl          Landtagswahl                     . |
 5444. |        Kommunalwahl   Burgermeisterwahlen                     . |
 5450. |        Kommunalwahl        Landratswahlen                     . |
 5460. |      Bundestagswahl          Landtagswahl                     . |
 5475. |      Landratswahlen   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 5476. |      Landratswahlen   Burgermeisterwahlen                     . |
 5483. |        Kommunalwahl        Landratswahlen                     . |
 5489. |      Landratswahlen   Burgermeisterwahlen                     . |
 5491. |      Bundestagswahl          Landtagswahl                     . |
 5499. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 5506. |        Landtagswahl        Landratswahlen                     . |
 5519. |      Bundestagswahl          Landtagswahl                     . |
 5540. |        Kommunalwahl        Landratswahlen   Burgermeisterwahlen |
 5548. |      Bundestagswahl          Landtagswahl                     . |
 5557. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 5560. |          Europawahl   Burgermeisterwahlen                     . |
 5563. |        Landtagswahl        Landratswahlen                     . |
 5574. |        Kommunalwahl   Burgermeisterwahlen                     . |
 5575. |      Bundestagswahl          Landtagswahl                     . |
 5580. |      Landratswahlen   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 5588. |      Landratswahlen   Burgermeisterwahlen                     . |
 5596. |        Kommunalwahl        Landratswahlen                     . |
 5602. |      Landratswahlen   Burgermeisterwahlen                     . |
 5603. |      Bundestagswahl          Landtagswahl                     . |
 5612. |      Landratswahlen   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 5620. |      Landratswahlen   Burgermeisterwahlen                     . |
 5626. |          Europawahl        Landratswahlen   Burgermeisterwahlen |
 5629. |      Bundestagswahl          Landtagswahl                     . |
 5647. |      Landratswahlen   Burgermeisterwahlen                     . |
 5653. |          Europawahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 5654. |      Bundestagswahl        Landratswahlen                     . |
 5657. |      Bundestagswahl          Landtagswahl                     . |
 5687. |      Bundestagswahl          Landtagswahl                     . |
 5696. |        Kommunalwahl        Landratswahlen                     . |
 5713. |          Europawahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 5715. |        Kommunalwahl   Burgermeisterwahlen                     . |
 5716. |      Bundestagswahl          Landtagswahl                     . |
 5732. |      Bundestagswahl   Burgermeisterwahlen                     . |
 5738. |        Landtagswahl        Landratswahlen                     . |
 5746. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 5769. |        Landtagswahl   Burgermeisterwahlen                     . |
 5774. |        Kommunalwahl        Landratswahlen                     . |
 5775. |      Bundestagswahl          Landtagswahl                     . |
 5807. |      Bundestagswahl          Landtagswahl                     . |
 5816. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 5821. |      Bundestagswahl   Burgermeisterwahlen                     . |
 5822. |        Landtagswahl        Landratswahlen                     . |
 5833. |      Bundestagswahl          Landtagswahl                     . |
 5848. |        Kommunalwahl   Burgermeisterwahlen                     . |
 5861. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 5864. |      Bundestagswahl          Landtagswahl                     . |
 5886. |        Kommunalwahl        Landratswahlen                     . |
 5895. |      Bundestagswahl          Landtagswahl                     . |
 5904. |        Kommunalwahl        Landratswahlen                     . |
 5908. |        Kommunalwahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 5910. |        Landtagswahl        Landratswahlen                     . |
 5922. |      Bundestagswahl          Landtagswahl                     . |
 5933. |        Landtagswahl   Burgermeisterwahlen                     . |
 5939. |        Kommunalwahl   Burgermeisterwahlen                     . |
 5952. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 5955. |      Bundestagswahl          Landtagswahl                     . |
 5970. |      Landratswahlen   Burgermeisterwahlen                     . |
 5977. |        Landtagswahl   Burgermeisterwahlen                     . |
 5983. |      Bundestagswahl          Landtagswahl                     . |
 6007. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 6016. |      Bundestagswahl          Landtagswahl                     . |
 6032. |      Bundestagswahl   Burgermeisterwahlen                     . |
 6045. |      Bundestagswahl          Landtagswahl   Burgermeisterwahlen |
 6072. |          Europawahl        Landratswahlen                     . |
 6074. |        Kommunalwahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 6075. |      Bundestagswahl          Landtagswahl                     . |
 6085. |        Kommunalwahl        Landratswahlen                     . |
 6092. |        Landtagswahl        Landratswahlen                     . |
 6106. |      Bundestagswahl          Landtagswahl                     . |
 6137. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 6151. |        Kommunalwahl        Landratswahlen                     . |
 6155. |          Europawahl   Burgermeisterwahlen                     . |
 6163. | Burgermeisterwahlen      Bürgerentscheide                     . |
 6167. |      Bundestagswahl          Landtagswahl                     . |
 6197. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 6201. |      Bundestagswahl          Landtagswahl                     . |
 6217. |        Kommunalwahl      Bürgerentscheide                     . |
 6223. |        Kommunalwahl        Landratswahlen                     . |
 6234. |      Bundestagswahl          Landtagswahl                     . |
 6265. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 6267. |      Bundestagswahl          Landtagswahl   Burgermeisterwahlen |
 6276. |        Kommunalwahl        Landratswahlen                     . |
 6278. |        Landtagswahl   Burgermeisterwahlen                     . |
 6282. |        Landtagswahl        Landratswahlen                     . |
 6291. |      Bundestagswahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 6293. |      Bundestagswahl          Landtagswahl                     . |
 6322. |        Kommunalwahl   Burgermeisterwahlen                     . |
 6323. |      Bundestagswahl          Landtagswahl                     . |
 6328. |      Landratswahlen   Burgermeisterwahlen                     . |
 6335. |      Landratswahlen   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 6342. |      Landratswahlen   Burgermeisterwahlen                     . |
 6343. |      Landratswahlen   Burgermeisterwahlen                     . |
 6350. |        Kommunalwahl        Landratswahlen   Burgermeisterwahlen |
 6352. |      Bundestagswahl          Landtagswahl                     . |
 6383. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 6392. |      Landratswahlen   Burgermeisterwahlen                     . |
 6401. |      Landratswahlen   Burgermeisterwahlen                     . |
 6405. |        Landtagswahl        Landratswahlen                     . |
 6409. |      Bundestagswahl   Burgermeisterwahlen                     . |
 6411. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 6438. |        Kommunalwahl   Burgermeisterwahlen                     . |
 6440. |      Bundestagswahl          Landtagswahl                     . |
 6448. |        Kommunalwahl        Landratswahlen                     . |
 6455. |        Landtagswahl        Landratswahlen                     . |
 6469. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 6493. |        Landtagswahl        Landratswahlen                     . |
 6499. |      Bundestagswahl          Landtagswahl   Burgermeisterwahlen |
 6527. |          Europawahl   Burgermeisterwahlen                     . |
 6529. |        Kommunalwahl        Landratswahlen                     . |
 6530. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 6538. |        Kommunalwahl   Burgermeisterwahlen                     . |
 6559. |      Bundestagswahl          Landtagswahl                     . |
 6576. |        Kommunalwahl   Burgermeisterwahlen                     . |
 6589. |        Kommunalwahl        Landratswahlen                     . |
 6592. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 6622. |      Bundestagswahl          Landtagswahl        Landratswahlen |
 6630. |        Kommunalwahl        Landratswahlen   Burgermeisterwahlen |
 6637. |        Landtagswahl        Landratswahlen                     . |
 6649. |      Bundestagswahl          Landtagswahl                     . |
 6672. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 6682. |      Bundestagswahl          Landtagswahl                     . |
 6696. |        Kommunalwahl   Burgermeisterwahlen                     . |
 6711. |      Bundestagswahl          Landtagswahl                     . |
 6743. |      Bundestagswahl          Landtagswahl                     . |
 6765. |        Kommunalwahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 6770. |        Kommunalwahl        Landratswahlen                     . |
 6772. |      Bundestagswahl          Landtagswahl                     . |
 6795. |        Kommunalwahl        Landratswahlen                     . |
 6803. |      Bundestagswahl          Landtagswahl                     . |
 6811. |      Landratswahlen   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 6826. |        Kommunalwahl        Landratswahlen                     . |
 6832. |      Landratswahlen   Burgermeisterwahlen                     . |
 6833. |      Bundestagswahl          Landtagswahl                     . |
 6863. |      Bundestagswahl          Landtagswahl                     . |
 6893. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 6916. |        Kommunalwahl        Landratswahlen                     . |
 6922. |        Kommunalwahl   Burgermeisterwahlen                     . |
 6924. |      Bundestagswahl          Landtagswahl                     . |
 6943. |          Europawahl   Burgermeisterwahlen                     . |
 6954. |      Bundestagswahl          Landtagswahl        Landratswahlen |
       |-----------------------------------------------------------------|
 6963. |        Kommunalwahl        Landratswahlen                     . |
 6971. |        Landtagswahl   Burgermeisterwahlen                     . |
 6979. |          Europawahl        Landratswahlen   Burgermeisterwahlen |
 6982. |      Bundestagswahl          Landtagswahl   Burgermeisterwahlen |
 7006. |        Landtagswahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 7010. |      Bundestagswahl        Landratswahlen      Bürgerentscheide |
 7013. |      Bundestagswahl          Landtagswahl                     . |
 7044. |        Kommunalwahl        Landratswahlen                     . |
 7046. |      Bundestagswahl          Landtagswahl                     . |
 7062. |        Kommunalwahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 7072. |          Europawahl        Landratswahlen                     . |
 7076. |      Bundestagswahl          Landtagswahl                     . |
 7092. |      Bundestagswahl   Burgermeisterwahlen                     . |
 7102. |          Europawahl        Landratswahlen                     . |
 7105. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 7110. |      Landratswahlen   Burgermeisterwahlen                     . |
 7128. |        Kommunalwahl        Landratswahlen                     . |
 7129. |        Landtagswahl   Burgermeisterwahlen                     . |
 7136. |      Bundestagswahl          Landtagswahl                     . |
 7146. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 7162. |          Europawahl        Landratswahlen                     . |
 7165. |      Bundestagswahl          Landtagswahl   Burgermeisterwahlen |
 7180. |      Landratswahlen   Burgermeisterwahlen                     . |
 7187. |        Kommunalwahl        Landratswahlen   Burgermeisterwahlen |
 7193. |      Landratswahlen   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 7195. |      Bundestagswahl          Landtagswahl                     . |
 7202. |      Bundestagswahl   Burgermeisterwahlen                     . |
 7215. |        Kommunalwahl        Landratswahlen                     . |
 7226. |      Bundestagswahl          Landtagswahl                     . |
 7253. |          Europawahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 7256. |      Bundestagswahl          Landtagswahl   Burgermeisterwahlen |
 7287. |      Bundestagswahl          Landtagswahl   Burgermeisterwahlen |
 7296. |        Kommunalwahl        Landratswahlen                     . |
 7301. |      Bundestagswahl   Burgermeisterwahlen                     . |
 7302. |        Landtagswahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 7313. |      Bundestagswahl          Landtagswahl                     . |
 7342. |        Kommunalwahl        Landratswahlen                     . |
 7343. |      Bundestagswahl          Landtagswahl                     . |
 7357. |        Kommunalwahl        Landratswahlen                     . |
 7369. |          Europawahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 7373. |      Bundestagswahl          Landtagswahl                     . |
 7396. |        Landtagswahl        Landratswahlen   Burgermeisterwahlen |
 7402. |      Bundestagswahl          Landtagswahl                     . |
 7428. |          Europawahl        Landratswahlen                     . |
 7432. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 7441. |        Kommunalwahl        Landratswahlen                     . |
 7446. |        Kommunalwahl   Burgermeisterwahlen                     . |
 7456. |          Europawahl        Landratswahlen                     . |
 7460. |      Bundestagswahl          Landtagswahl                     . |
 7465. |      Landratswahlen   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 7471. |      Landratswahlen   Burgermeisterwahlen                     . |
 7489. |        Kommunalwahl        Landratswahlen                     . |
 7491. |      Bundestagswahl          Landtagswahl                     . |
 7499. |        Kommunalwahl        Landratswahlen                     . |
 7506. |        Landtagswahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 7518. |      Bundestagswahl          Landtagswahl                     . |
 7549. |      Bundestagswahl          Landtagswahl        Landratswahlen |
 7562. |      Bundestagswahl   Burgermeisterwahlen                     . |
 7576. |          Europawahl        Landratswahlen                     . |
 7580. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 7610. |        Kommunalwahl        Landratswahlen                     . |
 7612. |      Bundestagswahl          Landtagswahl   Burgermeisterwahlen |
 7621. |        Kommunalwahl        Landratswahlen                     . |
 7624. |        Landtagswahl   Burgermeisterwahlen                     . |
 7636. |          Europawahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 7638. |        Kommunalwahl   Burgermeisterwahlen                     . |
 7639. |      Bundestagswahl          Landtagswahl                     . |
 7648. |        Kommunalwahl        Landratswahlen                     . |
 7655. |        Landtagswahl        Landratswahlen                     . |
 7658. |        Kommunalwahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 7666. |      Bundestagswahl          Landtagswahl                     . |
 7675. |        Kommunalwahl   Burgermeisterwahlen                     . |
 7680. |        Kommunalwahl        Landratswahlen                     . |
 7682. |      Bundestagswahl   Burgermeisterwahlen                     . |
 7695. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 7704. |        Kommunalwahl        Landratswahlen                     . |
 7711. |        Landtagswahl        Landratswahlen                     . |
 7723. |        Kommunalwahl   Burgermeisterwahlen                     . |
 7724. |      Bundestagswahl          Landtagswahl                     . |
 7742. |      Landratswahlen   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 7750. |      Bundestagswahl        Landratswahlen   Burgermeisterwahlen |
 7755. |      Bundestagswahl          Landtagswahl                     . |
 7787. |        Kommunalwahl        Landratswahlen                     . |
 7789. |      Bundestagswahl          Landtagswahl                     . |
 7820. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 7835. |        Landtagswahl   Burgermeisterwahlen                     . |
 7851. |        Kommunalwahl   Burgermeisterwahlen                     . |
 7853. |      Bundestagswahl          Landtagswahl        Landratswahlen |
 7874. |        Kommunalwahl        Landratswahlen                     . |
 7882. |      Bundestagswahl          Landtagswahl   Burgermeisterwahlen |
       |-----------------------------------------------------------------|
 7899. |      Bundestagswahl   Burgermeisterwahlen                     . |
 7904. |        Kommunalwahl        Landratswahlen                     . |
 7912. |      Bundestagswahl          Landtagswahl                     . |
 7943. |      Bundestagswahl          Landtagswahl                     . |
 7956. |          Europawahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 7957. |        Kommunalwahl        Landratswahlen                     . |
 7970. |        Kommunalwahl   Burgermeisterwahlen                     . |
 7972. |      Bundestagswahl          Landtagswahl                     . |
 7986. |        Kommunalwahl        Landratswahlen                     . |
 8002. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 8011. |        Kommunalwahl        Landratswahlen                     . |
 8031. |      Bundestagswahl          Landtagswahl                     . |
 8039. |        Kommunalwahl        Landratswahlen   Burgermeisterwahlen |
 8045. |        Landtagswahl        Landratswahlen   Burgermeisterwahlen |
 8052. |      Landratswahlen   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 8057. |      Bundestagswahl          Landtagswahl                     . |
 8064. |      Bundestagswahl   Burgermeisterwahlen                     . |
 8078. |        Kommunalwahl        Landratswahlen                     . |
 8088. |      Bundestagswahl          Landtagswahl   Burgermeisterwahlen |
 8097. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 8119. |      Bundestagswahl          Landtagswahl                     . |
 8148. |      Bundestagswahl          Landtagswahl                     . |
 8156. |        Kommunalwahl        Landratswahlen                     . |
 8163. |        Landtagswahl        Landratswahlen                     . |
 8176. |      Bundestagswahl          Landtagswahl   Burgermeisterwahlen |
       |-----------------------------------------------------------------|
 8191. |        Kommunalwahl   Burgermeisterwahlen                     . |
 8207. |      Bundestagswahl          Landtagswahl                     . |
 8216. |        Kommunalwahl        Landratswahlen                     . |
 8222. |      Bundestagswahl   Burgermeisterwahlen                     . |
 8231. |          Europawahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 8234. |      Bundestagswahl          Landtagswahl                     . |
 8258. |        Kommunalwahl        Landratswahlen                     . |
 8264. |      Landratswahlen   Burgermeisterwahlen                     . |
 8266. |      Bundestagswahl          Landtagswahl                     . |
 8275. |      Landratswahlen   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 8294. |      Bundestagswahl        Landratswahlen                     . |
 8298. |      Bundestagswahl          Landtagswahl                     . |
 8307. |        Kommunalwahl        Landratswahlen                     . |
 8328. |      Bundestagswahl          Landtagswahl                     . |
 8358. |      Bundestagswahl          Landtagswahl        Landratswahlen |
       |-----------------------------------------------------------------|
 8367. |        Kommunalwahl        Landratswahlen                     . |
 8386. |      Bundestagswahl          Landtagswahl                     . |
 8412. |        Landtagswahl        Landratswahlen                     . |
 8417. |        Kommunalwahl   Burgermeisterwahlen                     . |
 8418. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 8449. |        Kommunalwahl   Burgermeisterwahlen                     . |
 8451. |      Bundestagswahl          Landtagswahl                     . |
 8460. |        Kommunalwahl        Landratswahlen                     . |
 8467. |        Landtagswahl        Landratswahlen                     . |
 8478. |      Bundestagswahl          Landtagswahl   Burgermeisterwahlen |
       |-----------------------------------------------------------------|
 8488. |        Kommunalwahl        Landratswahlen                     . |
 8501. |        Kommunalwahl   Burgermeisterwahlen                     . |
 8504. |          Europawahl        Landratswahlen                     . |
 8508. |      Bundestagswahl          Landtagswahl                     . |
 8517. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 8524. |        Landtagswahl        Landratswahlen                     . |
 8536. |      Bundestagswahl          Landtagswahl                     . |
 8549. |        Landtagswahl   Burgermeisterwahlen                     . |
 8560. |        Kommunalwahl        Landratswahlen                     . |
 8565. |        Kommunalwahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 8567. |      Bundestagswahl          Landtagswahl                     . |
 8588. |        Kommunalwahl        Landratswahlen                     . |
 8595. |      Landratswahlen   Burgermeisterwahlen                     . |
 8596. |      Bundestagswahl          Landtagswahl                     . |
 8624. |      Bundestagswahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 8628. |      Bundestagswahl          Landtagswahl                     . |
 8644. |      Bundestagswahl   Burgermeisterwahlen                     . |
 8656. |        Kommunalwahl        Landratswahlen                     . |
 8658. |      Bundestagswahl          Landtagswahl                     . |
 8666. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 8673. |        Landtagswahl        Landratswahlen                     . |
 8682. |      Bundestagswahl   Burgermeisterwahlen                     . |
 8684. |      Bundestagswahl          Landtagswahl                     . |
 8714. |      Bundestagswahl          Landtagswahl                     . |
 8745. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 8754. |      Landratswahlen   Burgermeisterwahlen                     . |
 8760. |      Landratswahlen   Burgermeisterwahlen                     . |
 8767. |      Landratswahlen   Burgermeisterwahlen                     . |
 8772. |      Bundestagswahl          Landtagswahl                     . |
 8803. |      Bundestagswahl          Landtagswahl        Landratswahlen |
       |-----------------------------------------------------------------|
 8827. |        Landtagswahl        Landratswahlen                     . |
 8835. |      Bundestagswahl          Landtagswahl                     . |
 8860. |        Landtagswahl        Landratswahlen   Burgermeisterwahlen |
 8867. |      Bundestagswahl          Landtagswahl                     . |
 8884. |      Bundestagswahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 8896. |        Kommunalwahl        Landratswahlen                     . |
 8898. |      Bundestagswahl          Landtagswahl                     . |
 8907. |        Kommunalwahl   Burgermeisterwahlen                     . |
 8914. |        Landtagswahl   Burgermeisterwahlen                     . |
 8925. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 8934. |        Kommunalwahl        Landratswahlen                     . |
 8939. |      Bundestagswahl   Burgermeisterwahlen                     . |
 8940. |        Landtagswahl        Landratswahlen                     . |
 8951. |      Bundestagswahl          Landtagswahl                     . |
 8974. |        Kommunalwahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 8980. |        Kommunalwahl        Landratswahlen                     . |
 8984. |      Bundestagswahl          Landtagswahl                     . |
 9001. |        Kommunalwahl   Burgermeisterwahlen                     . |
 9015. |        Kommunalwahl        Landratswahlen                     . |
 9019. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 9028. |        Kommunalwahl        Landratswahlen                     . |
 9035. |        Landtagswahl        Landratswahlen                     . |
 9047. |      Bundestagswahl          Landtagswahl                     . |
 9057. |        Kommunalwahl        Landratswahlen                     . |
 9064. |        Landtagswahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 9076. |      Bundestagswahl          Landtagswahl                     . |
 9092. |      Bundestagswahl   Burgermeisterwahlen                     . |
 9105. |      Bundestagswahl          Landtagswahl                     . |
 9114. |      Landratswahlen   Burgermeisterwahlen                     . |
 9115. |      Landratswahlen   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 9126. |        Kommunalwahl   Burgermeisterwahlen                     . |
 9127. |        Landtagswahl        Landratswahlen                     . |
 9134. |      Bundestagswahl          Landtagswahl                     . |
 9142. |        Kommunalwahl        Landratswahlen                     . |
 9162. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 9189. |      Bundestagswahl   Burgermeisterwahlen                     . |
 9191. |      Bundestagswahl          Landtagswahl                     . |
 9218. |      Bundestagswahl        Landratswahlen                     . |
 9221. |      Bundestagswahl          Landtagswahl                     . |
 9244. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 9247. |          Europawahl   Burgermeisterwahlen                     . |
 9251. |      Bundestagswahl          Landtagswahl                     . |
 9258. |        Landtagswahl   Burgermeisterwahlen                     . |
 9259. |        Kommunalwahl        Landratswahlen                     . |
 9263. |        Kommunalwahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 9265. |        Landtagswahl        Landratswahlen                     . |
 9277. |      Bundestagswahl          Landtagswahl                     . |
 9293. |        Kommunalwahl   Burgermeisterwahlen                     . |
 9307. |        Kommunalwahl        Landratswahlen                     . |
 9311. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 9340. |      Bundestagswahl          Landtagswahl                     . |
 9363. |        Kommunalwahl   Burgermeisterwahlen                     . |
 9365. |        Landtagswahl        Landratswahlen                     . |
 9372. |      Bundestagswahl          Landtagswahl                     . |
 9400. |        Kommunalwahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 9402. |      Bundestagswahl          Landtagswahl                     . |
 9411. |        Kommunalwahl        Landratswahlen                     . |
 9431. |      Bundestagswahl          Landtagswahl                     . |
 9452. |      Landratswahlen   Burgermeisterwahlen                     . |
 9459. |      Landratswahlen   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 9460. |      Bundestagswahl          Landtagswahl                     . |
 9469. |        Kommunalwahl        Landratswahlen                     . |
 9489. |      Bundestagswahl          Landtagswahl                     . |
 9499. |        Kommunalwahl        Landratswahlen                     . |
 9506. |        Landtagswahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 9518. |      Bundestagswahl          Landtagswahl                     . |
 9535. |      Bundestagswahl   Burgermeisterwahlen                     . |
 9544. |          Europawahl        Landratswahlen                     . |
 9547. |      Bundestagswahl          Landtagswahl                     . |
 9562. |        Kommunalwahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
 9577. |      Bundestagswahl          Landtagswahl                     . |
 9603. |          Europawahl        Landratswahlen                     . |
 9607. |      Bundestagswahl          Landtagswahl                     . |
 9625. |      Landratswahlen   Burgermeisterwahlen                     . |
 9629. |        Landtagswahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 9633. |      Bundestagswahl   Burgermeisterwahlen                     . |
 9635. |      Bundestagswahl          Landtagswahl                     . |
 9641. |      Bundestagswahl   Burgermeisterwahlen                     . |
 9656. |        Kommunalwahl   Burgermeisterwahlen                     . |
 9664. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 9695. |      Bundestagswahl          Landtagswahl                     . |
 9728. |      Bundestagswahl          Landtagswahl        Landratswahlen |
 9737. |        Kommunalwahl        Landratswahlen                     . |
 9744. |        Landtagswahl        Landratswahlen                     . |
 9757. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 9773. |      Bundestagswahl   Burgermeisterwahlen                     . |
 9779. |        Landtagswahl        Landratswahlen                     . |
 9787. |      Bundestagswahl          Landtagswahl                     . |
 9796. |        Kommunalwahl        Landratswahlen                     . |
 9803. |        Landtagswahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 9814. |      Bundestagswahl          Landtagswahl                     . |
 9822. |        Kommunalwahl        Landratswahlen   Burgermeisterwahlen |
 9829. |      Landratswahlen   Burgermeisterwahlen                     . |
 9835. |      Landratswahlen   Burgermeisterwahlen                     . |
 9839. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
 9865. |          Europawahl        Landratswahlen                     . |
 9870. |      Bundestagswahl          Landtagswahl                     . |
 9896. |        Kommunalwahl      Bürgerentscheide                     . |
 9905. |      Bundestagswahl          Landtagswahl                     . |
 9914. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 9926. |        Kommunalwahl   Burgermeisterwahlen                     . |
 9929. |          Europawahl        Landratswahlen                     . |
 9933. |      Bundestagswahl          Landtagswahl                     . |
 9948. |        Kommunalwahl   Burgermeisterwahlen                     . |
 9953. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
 9962. |      Bundestagswahl          Landtagswahl                     . |
 9986. |        Landtagswahl        Landratswahlen                     . |
 9990. |      Bundestagswahl   Burgermeisterwahlen                     . |
 9992. |      Bundestagswahl          Landtagswahl                     . |
10023. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
10025. |      Bundestagswahl          Landtagswahl                     . |
10043. |      Landratswahlen   Burgermeisterwahlen                     . |
10050. |      Bundestagswahl        Landratswahlen   Burgermeisterwahlen |
10051. |      Landratswahlen   Burgermeisterwahlen                     . |
10054. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
10078. |        Kommunalwahl        Landratswahlen                     . |
10082. |      Bundestagswahl   Burgermeisterwahlen                     . |
10086. |      Bundestagswahl          Landtagswahl                     . |
10102. |      Bundestagswahl   Burgermeisterwahlen                     . |
10114. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
10117. |      Bundestagswahl          Landtagswahl                     . |
10126. |        Kommunalwahl        Landratswahlen                     . |
10133. |        Landtagswahl        Landratswahlen                     . |
10145. |      Bundestagswahl          Landtagswahl                     . |
10169. |        Landtagswahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
10178. |      Bundestagswahl          Landtagswahl                     . |
10207. |      Bundestagswahl   Burgermeisterwahlen                     . |
10209. |      Bundestagswahl          Landtagswahl                     . |
10219. |        Kommunalwahl        Landratswahlen                     . |
10226. |        Landtagswahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
10239. |      Bundestagswahl          Landtagswahl                     . |
10248. |        Kommunalwahl        Landratswahlen                     . |
10255. |        Landtagswahl        Landratswahlen                     . |
10257. |      Bundestagswahl   Burgermeisterwahlen                     . |
10267. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
10276. |        Kommunalwahl        Landratswahlen                     . |
10284. |      Landratswahlen   Burgermeisterwahlen                     . |
10290. |      Landratswahlen   Burgermeisterwahlen                     . |
10294. |      Bundestagswahl          Landtagswahl                     . |
10309. |        Kommunalwahl        Landratswahlen   Burgermeisterwahlen |
       |-----------------------------------------------------------------|
10325. |      Bundestagswahl          Landtagswahl                     . |
10341. |        Kommunalwahl      Bürgerentscheide                     . |
10353. |      Bundestagswahl        Landratswahlen                     . |
10355. |        Kommunalwahl   Burgermeisterwahlen                     . |
10356. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
10387. |        Kommunalwahl        Landratswahlen                     . |
10389. |      Bundestagswahl          Landtagswahl                     . |
10421. |      Bundestagswahl          Landtagswahl                     . |
10430. |        Kommunalwahl        Landratswahlen                     . |
10449. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
10459. |        Kommunalwahl        Landratswahlen                     . |
10461. |        Landtagswahl   Burgermeisterwahlen                     . |
10465. |        Landtagswahl        Landratswahlen                     . |
10476. |        Kommunalwahl   Burgermeisterwahlen                     . |
10478. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
10487. |        Kommunalwahl        Landratswahlen                     . |
10494. |        Landtagswahl        Landratswahlen                     . |
10507. |      Bundestagswahl          Landtagswahl                     . |
10530. |          Europawahl   Burgermeisterwahlen                     . |
10540. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
10543. |      Bundestagswahl          Landtagswahl                     . |
10567. |        Kommunalwahl        Landratswahlen                     . |
10577. |      Bundestagswahl          Landtagswahl                     . |
10595. |          Europawahl   Burgermeisterwahlen                     . |
10607. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
10609. |      Bundestagswahl          Landtagswahl                     . |
10617. |      Landratswahlen   Burgermeisterwahlen                     . |
10624. |      Landratswahlen   Burgermeisterwahlen                     . |
10629. |        Kommunalwahl        Landratswahlen                     . |
10637. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
10661. |        Kommunalwahl        Landratswahlen                     . |
10670. |      Bundestagswahl          Landtagswahl                     . |
10701. |      Bundestagswahl          Landtagswahl                     . |
10732. |        Kommunalwahl        Landratswahlen                     . |
10733. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
10764. |      Bundestagswahl          Landtagswahl                     . |
10780. |      Landratswahlen   Burgermeisterwahlen                     . |
10787. |        Kommunalwahl        Landratswahlen   Burgermeisterwahlen |
10796. |      Bundestagswahl          Landtagswahl                     . |
10827. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
10849. |        Kommunalwahl        Landratswahlen                     . |
10858. |      Bundestagswahl          Landtagswahl   Burgermeisterwahlen |
10873. |        Kommunalwahl   Burgermeisterwahlen                     . |
10887. |        Kommunalwahl        Landratswahlen                     . |
10891. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
10901. |        Kommunalwahl        Landratswahlen                     . |
10923. |      Bundestagswahl          Landtagswahl                     . |
10950. |      Bundestagswahl        Landratswahlen                     . |
10953. |      Bundestagswahl          Landtagswahl                     . |
10967. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
10983. |      Bundestagswahl          Landtagswahl                     . |
10992. |        Kommunalwahl        Landratswahlen                     . |
10999. |        Landtagswahl        Landratswahlen                     . |
11011. |      Bundestagswahl          Landtagswahl   Burgermeisterwahlen |
11034. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
11043. |      Bundestagswahl          Landtagswahl                     . |
11064. |        Kommunalwahl        Landratswahlen   Burgermeisterwahlen |
11071. |      Landratswahlen   Burgermeisterwahlen                     . |
11073. |      Bundestagswahl          Landtagswahl                     . |
11104. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
11106. |      Bundestagswahl          Landtagswahl                     . |
11128. |        Kommunalwahl        Landratswahlen                     . |
11137. |      Bundestagswahl          Landtagswahl                     . |
11154. |      Bundestagswahl   Burgermeisterwahlen                     . |
11158. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
11166. |      Bundestagswahl          Landtagswahl                     . |
11196. |      Bundestagswahl          Landtagswahl                     . |
11229. |      Bundestagswahl          Landtagswahl        Landratswahlen |
11255. |          Europawahl        Landratswahlen                     . |
11257. |        Kommunalwahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
11258. |      Bundestagswahl          Landtagswahl                     . |
11288. |      Bundestagswahl          Landtagswahl        Landratswahlen |
11312. |        Landtagswahl   Burgermeisterwahlen                     . |
11316. |        Kommunalwahl        Landratswahlen                     . |
11318. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
11340. |        Kommunalwahl        Landratswahlen                     . |
11343. |          Europawahl   Burgermeisterwahlen                     . |
11348. |      Bundestagswahl          Landtagswahl                     . |
11363. |      Bundestagswahl   Burgermeisterwahlen                     . |
11376. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
11408. |        Kommunalwahl        Landratswahlen                     . |
11409. |      Bundestagswahl          Landtagswahl                     . |
11417. |        Kommunalwahl        Landratswahlen                     . |
11424. |        Landtagswahl        Landratswahlen                     . |
11436. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
11467. |      Bundestagswahl          Landtagswahl                     . |
11498. |        Kommunalwahl        Landratswahlen                     . |
11500. |      Bundestagswahl          Landtagswahl   Burgermeisterwahlen |
11531. |      Bundestagswahl          Landtagswahl                     . |
11540. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
11547. |        Landtagswahl        Landratswahlen                     . |
11560. |      Bundestagswahl          Landtagswahl                     . |
11593. |      Bundestagswahl          Landtagswahl                     . |
11611. |      Bundestagswahl   Burgermeisterwahlen                     . |
11615. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
11622. |      Landratswahlen   Burgermeisterwahlen                     . |
11624. |      Bundestagswahl          Landtagswahl                     . |
11636. | Burgermeisterwahlen      Bürgerentscheide                     . |
11647. |        Kommunalwahl        Landratswahlen                     . |
11656. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
11665. |        Kommunalwahl        Landratswahlen                     . |
11672. |        Landtagswahl        Landratswahlen                     . |
11684. |      Bundestagswahl          Landtagswahl                     . |
11694. |        Kommunalwahl        Landratswahlen                     . |
11703. |        Landtagswahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
11710. |          Europawahl        Landratswahlen   Burgermeisterwahlen |
11713. |      Bundestagswahl          Landtagswahl                     . |
11728. |        Kommunalwahl        Landratswahlen                     . |
11734. |        Kommunalwahl   Burgermeisterwahlen                     . |
11744. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
11775. |      Bundestagswahl          Landtagswahl                     . |
11786. |      Landratswahlen      Bürgerentscheide                     . |
11807. |      Bundestagswahl          Landtagswahl                     . |
11816. |        Kommunalwahl   Burgermeisterwahlen                     . |
11823. |        Landtagswahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
11830. |          Europawahl   Burgermeisterwahlen                     . |
11833. |      Bundestagswahl          Landtagswahl                     . |
11840. |        Landtagswahl   Burgermeisterwahlen                     . |
11841. |        Kommunalwahl        Landratswahlen                     . |
11845. |        Kommunalwahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
11848. |        Landtagswahl        Landratswahlen                     . |
11860. |      Bundestagswahl          Landtagswahl                     . |
11869. |        Kommunalwahl        Landratswahlen                     . |
11872. |        Landtagswahl   Burgermeisterwahlen                     . |
11884. |          Europawahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
11886. |        Kommunalwahl   Burgermeisterwahlen                     . |
11887. |      Bundestagswahl          Landtagswahl                     . |
11901. |        Kommunalwahl        Landratswahlen                     . |
11917. |      Bundestagswahl          Landtagswahl                     . |
11949. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
11954. |      Landratswahlen   Burgermeisterwahlen                     . |
11963. |          Europawahl   Burgermeisterwahlen                     . |
11980. |        Kommunalwahl        Landratswahlen                     . |
11982. |      Bundestagswahl          Landtagswahl                     . |
12003. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
12004. |        Landtagswahl   Burgermeisterwahlen                     . |
12011. |      Bundestagswahl          Landtagswahl                     . |
12033. |        Kommunalwahl        Landratswahlen   Burgermeisterwahlen |
12040. |      Landratswahlen   Burgermeisterwahlen                     . |
12041. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
12073. |        Kommunalwahl        Landratswahlen                     . |
12075. |      Bundestagswahl          Landtagswahl                     . |
12090. |        Kommunalwahl   Burgermeisterwahlen                     . |
12095. |        Kommunalwahl        Landratswahlen                     . |
12104. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
12122. |      Bundestagswahl   Burgermeisterwahlen                     . |
12126. |        Kommunalwahl        Landratswahlen                     . |
12135. |      Bundestagswahl          Landtagswahl                     . |
12156. |        Kommunalwahl        Landratswahlen                     . |
12166. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
12187. |        Kommunalwahl        Landratswahlen                     . |
12195. |      Bundestagswahl          Landtagswahl   Burgermeisterwahlen |
12208. |        Landtagswahl   Burgermeisterwahlen                     . |
12210. |        Kommunalwahl        Landratswahlen                     . |
12223. |        Kommunalwahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
12225. |      Bundestagswahl          Landtagswahl                     . |
12241. |        Kommunalwahl        Landratswahlen                     . |
12257. |      Bundestagswahl          Landtagswahl                     . |
12270. |        Landtagswahl   Burgermeisterwahlen                     . |
12280. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
12285. |        Kommunalwahl   Burgermeisterwahlen                     . |
12287. |      Bundestagswahl          Landtagswahl                     . |
12318. |      Bundestagswahl          Landtagswahl        Landratswahlen |
12332. |        Kommunalwahl        Landratswahlen                     . |
12334. |      Bundestagswahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
12347. |      Bundestagswahl          Landtagswahl                     . |
12357. |        Kommunalwahl        Landratswahlen                     . |
12377. |      Bundestagswahl          Landtagswahl                     . |
12389. |        Landtagswahl   Burgermeisterwahlen                     . |
12398. |        Kommunalwahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
12407. |      Bundestagswahl          Landtagswahl                     . |
12416. |      Landratswahlen   Burgermeisterwahlen                     . |
12424. |      Landratswahlen   Burgermeisterwahlen                     . |
12430. |          Europawahl        Landratswahlen   Burgermeisterwahlen |
12433. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
12465. |      Bundestagswahl          Landtagswahl        Landratswahlen |
12488. |        Kommunalwahl        Landratswahlen                     . |
12492. |          Europawahl   Burgermeisterwahlen                     . |
12496. |      Bundestagswahl          Landtagswahl                     . |
12505. |        Kommunalwahl   Burgermeisterwahlen                     . |
       |-----------------------------------------------------------------|
12525. |      Bundestagswahl          Landtagswahl                     . |
12533. |        Kommunalwahl        Landratswahlen                     . |
12540. |        Landtagswahl        Landratswahlen                     . |
12550. |      Bundestagswahl   Burgermeisterwahlen                     . |
12552. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
12583. |      Bundestagswahl          Landtagswahl                     . |
12612. |      Bundestagswahl          Landtagswahl                     . |
12638. |        Kommunalwahl        Landratswahlen                     . |
12644. |      Landratswahlen   Burgermeisterwahlen                     . |
12646. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
12677. |      Bundestagswahl          Landtagswahl        Landratswahlen |
12686. |        Kommunalwahl        Landratswahlen                     . |
12693. |        Landtagswahl        Landratswahlen                     . |
12704. |        Kommunalwahl   Burgermeisterwahlen                     . |
12705. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
12734. |        Kommunalwahl        Landratswahlen                     . |
12736. |      Bundestagswahl          Landtagswahl   Burgermeisterwahlen |
12750. |          Europawahl   Burgermeisterwahlen                     . |
12759. |        Landtagswahl        Landratswahlen                     . |
12766. |      Bundestagswahl          Landtagswahl                     . |
       |-----------------------------------------------------------------|
12791. |        Landtagswahl        Landratswahlen                     . |
12798. |      Bundestagswahl          Landtagswahl                     . |
12807. |        Kommunalwahl        Landratswahlen                     . |
12812. |      Bundestagswahl   Burgermeisterwahlen                     . |
12814. |        Landtagswahl        Landratswahlen                     . |
       |-----------------------------------------------------------------|
12825. |      Bundestagswahl          Landtagswahl                     . |
12834. |        Kommunalwahl        Landratswahlen                     . |
12853. |          Europawahl        Landratswahlen                     . |
12857. |      Bundestagswahl          Landtagswahl                     . |
       +-----------------------------------------------------------------+

. 
. //// Calculating the index ////
> 
. *Creating variables with the dates of legislative elections 
. fre e_date datum if rank==1 // the first election (1990) is not studied

e_date
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   11293 |        426      14.29      14.29      14.29
        12707 |        426      14.29      14.29      28.57
        14149 |        426      14.29      14.29      42.86
        15605 |        426      14.29      14.29      57.14
        16697 |        426      14.29      14.29      71.43
        18167 |        426      14.29      14.29      85.71
        19623 |        426      14.29      14.29     100.00
        Total |       2982     100.00     100.00           
-----------------------------------------------------------

datum -- Datum
----------------------------------------------------------------
                   |      Freq.    Percent      Valid       Cum.
-------------------+--------------------------------------------
Valid   02/12/1990 |        426      14.29      14.29      14.29
        16.10.1994 |        426      14.29      14.29      28.57
        18.9.2005  |        426      14.29      14.29      42.86
        22.9.2002  |        426      14.29      14.29      57.14
        22.9.2013  |        426      14.29      14.29      71.43
        27.9.1998  |        426      14.29      14.29      85.71
        27.9.2009  |        426      14.29      14.29     100.00
        Total      |       2982     100.00     100.00           
----------------------------------------------------------------

. gen date_leg_1 = 12707

. gen date_leg_2 = 14149

. gen date_leg_3 = 15605

. gen date_leg_4 = 16697

. gen date_leg_5 = 18167

. gen date_leg_6 = 19623

. 
. *Generating variables measuring distance to legislative elections
. forvalues i=1(1)6  { 
  2. generate timetoleg_`i' = date_leg_`i' - e_date if e_date < date_leg_`i'
  3. }
(10,416 missing values generated)
(8,484 missing values generated)
(6,223 missing values generated)
(4,502 missing values generated)
(1,791 missing values generated)
(426 missing values generated)

. 
. 
. *Generationg contributions to the index 
. 
. forvalues i = 1/6 {
  2. gen no_weight_5_cont_`i' = .
  3. replace no_weight_5_cont_`i' = 1/(exp(timetoleg_`i'/365.25)) if timetoleg_`i'< 1826.25 & timetoleg_`i' > 0 // 1826.25 corres
> ponds to 5 years 
  4. }
(12,857 missing values generated)
(2,015 real changes made)
(12,857 missing values generated)
(2,514 real changes made)
(12,857 missing values generated)
(2,457 real changes made)
(12,857 missing values generated)
(2,401 real changes made)
(12,857 missing values generated)
(2,895 real changes made)
(12,857 missing values generated)
(2,408 real changes made)

. 
. *Aggregating the contributions 
. 
. forvalues i = 1/6 {
  2. egen no_weight_5_`i' = sum(no_weight_5_cont_`i'), by(gemeindename)
  3. }

. 
. *Generating Indexes
. 
. gen index_n_w_5 = .
(12,857 missing values generated)

. la var index_n_w_5  "General Index - 5 years: no weight"

. forvalues i = 1/6 {
  2.         replace index_n_w_5 = no_weight_5_`i' if date_leg_`i'==e_date
  3.         }
(426 real changes made)
(426 real changes made)
(426 real changes made)
(426 real changes made)
(426 real changes made)
(426 real changes made)

.         
. keep if artderwahlb == 1
(9,875 observations deleted)

. drop if turnout ==.
(426 observations deleted)

. keep gemeindename jahr index_n_w_5

. 
. save index_n_w_5_to_merge.dta, replace // Saving the index to merge it with Garmann's data
file index_n_w_5_to_merge.dta saved

. 
. 
. 
end of do-file

. do "C:\Users\fkostelk\Dropbox\Replication_EF\Code\2b_2.do" 

. *********************************************************************************
. *                                                                               *
. *                          Replication Garmann 2017                                             *
. *                                                                               *
. *                                 Analysis                                                                              *
. *                                                                               *
. *********************************************************************************
. 
. 
. //Note: Dataset has already been -xtset- by Garmann
. //timevariable is time; panel variable is gemeinde
. 
. *-----------------------------*
. *       Load Data
. *-----------------------------*
. 
. global beg_path `"C:\Users\fkostelk\Dropbox\Replication_EF\"'  // F - EUI

. 
. cd `"${beg_path}Data\Analysis 2B\"'
C:\Users\fkostelk\Dropbox\Replication_EF\Data\Analysis 2B

. 
.    
.  use Election_frequency.dta, clear

. 
. *-----------------------------*
. *       Recoding
. *-----------------------------*
. 
. encode artderwahl, gen(artderwahlb) // recode as categorical Variable

. 
. //Rename problematic variable with umlauts
. rename *ber65 ueber65

. 
. replace datum = "27.1.2008" if datum == "27.01.2008" // for consistency (zeroes are not used for the other dates)  
(1 real change made)

. encode datum, gen(election_fixed)

. 
. *-----------------------------*
. *       Set Globals
. *-----------------------------*
. 
. global controls         "wahlberechtigte pop punter15 ueber65 sharefemale foreigners density bip_real parallel vscdu vsspd vsgr
> een vsfdp politicalcompetition number_voter_associations"

.  
. 
. 
. *-----------------------------*
. *       Table 3 in Our Manuscript 
. *-----------------------------*
. 
. keep if artderwahlb==1
(6,390 observations deleted)

. eststo clear

. 
. *Replication of Column 1 with a different operationalisation (dummy, election in the last 100 days) & including the 2013 electi
> on
. eststo M1: areg turnout days1_100 i.election_fixed if artderwahlb==1, cluster(gemeinde) absorb(gemeinde) 

Linear regression, absorbing indicators            Number of obs     =   2,556
Absorbed variable: gemeinde                        No. of categories =     426
                                                   F(6, 425)         = 1233.17
                                                   Prob > F          =  0.0000
                                                   R-squared         =  0.9395
                                                   Adj R-squared     =  0.9273
                                                   Root MSE          =  1.4238

                               (Std. err. adjusted for 426 clusters in gemeinde)
--------------------------------------------------------------------------------
               |               Robust
       turnout | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
---------------+----------------------------------------------------------------
     days1_100 |  -.6846327   .1559064    -4.39   0.000    -.9910763   -.3781891
               |
election_fixed |
    18.9.2005  |  -3.374019    .098282   -34.33   0.000    -3.567199    -3.18084
    22.9.2002  |  -1.979606   .0915703   -21.62   0.000    -2.159594   -1.799619
    22.9.2013  |  -8.709124   .1475137   -59.04   0.000    -8.999071   -8.419177
    27.9.1998  |   2.184832   .0664457    32.88   0.000     2.054228    2.315435
    27.9.2009  |  -8.501364   .1399928   -60.73   0.000    -8.776528   -8.226199
               |
         _cons |   83.52151   .0792265  1054.21   0.000     83.36579    83.67724
--------------------------------------------------------------------------------

. estadd local municipality "Yes" , replace 

added macro:
       e(municipality) : "Yes"

. estadd local election  "Yes" , replace 

added macro:
           e(election) : "Yes"

. estadd local controls "No" , replace

added macro:
           e(controls) : "No"

. 
. *Replication of Column 2 with a different operationalisation (dummy, election in the last 100 days) & including the 2013 electi
> on
. eststo M2: areg turnout days1_100 $controls  i.election_fixed if artderwahlb==1, cluster(gemeinde) absorb(gemeinde) 

Linear regression, absorbing indicators             Number of obs     =  2,556
Absorbed variable: gemeinde                         No. of categories =    426
                                                    F(21, 425)        = 487.69
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9465
                                                    Adj R-squared     = 0.9352
                                                    Root MSE          = 1.3443

                                          (Std. err. adjusted for 426 clusters in gemeinde)
-------------------------------------------------------------------------------------------
                          |               Robust
                  turnout | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                days1_100 |  -.8771486   .1642972    -5.34   0.000    -1.200085   -.5542123
          wahlberechtigte |   -.000073   .0001119    -0.65   0.514    -.0002929    .0001469
                      pop |   .0001041   .0000862     1.21   0.228    -.0000653    .0002736
                 punter15 |    .068378   .0705024     0.97   0.333    -.0701988    .2069548
                  ueber65 |   .3336403   .0614548     5.43   0.000     .2128471    .4544335
              sharefemale |   .2444765   .1151127     2.12   0.034     .0182153    .4707376
               foreigners |  -.0073543   .0456069    -0.16   0.872    -.0969974    .0822888
                  density |   .0093755   .0061368     1.53   0.127    -.0026867    .0214378
                 bip_real |   .0004268   .0001462     2.92   0.004     .0001393    .0007142
                 parallel |   1.265611   .2363367     5.36   0.000     .8010768    1.730146
                    vscdu |  -.4444281   1.031821    -0.43   0.667    -2.472536     1.58368
                    vsspd |  -1.062452   1.242675    -0.85   0.393    -3.505007    1.380103
                  vsgreen |   .9680945   1.480839     0.65   0.514    -1.942586    3.878775
                    vsfdp |   2.860314   2.522809     1.13   0.258    -2.098421     7.81905
     politicalcompetition |  -.0091355   .1797401    -0.05   0.959    -.3624257    .3441548
number_voter_associations |   .0992044   .0988656     1.00   0.316     -.095122    .2935307
                          |
           election_fixed |
               18.9.2005  |  -4.874771   .2662841   -18.31   0.000    -5.398168   -4.351373
               22.9.2002  |  -3.018545   .1799757   -16.77   0.000    -3.372298   -2.664792
               22.9.2013  |  -11.00855   .4623015   -23.81   0.000    -11.91723   -10.09987
               27.9.1998  |   1.836783   .0915749    20.06   0.000     1.656787    2.016779
               27.9.2009  |  -10.68723   .4122183   -25.93   0.000    -11.49747    -9.87699
                          |
                    _cons |   59.24977   5.785331    10.24   0.000     47.87835     70.6212
-------------------------------------------------------------------------------------------

. estadd local municipality "Yes" , replace 

added macro:
       e(municipality) : "Yes"

. estadd local election  "Yes" , replace 

added macro:
           e(election) : "Yes"

. estadd local controls "Yes" , replace

added macro:
           e(controls) : "Yes"

. 
. merge 1:1 gemeindename jahr using index_n_w_5_to_merge.dta 

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             2,556  (_merge==3)
    -----------------------------------------

. drop _merge

. 
. fre index_n_w_5 if jahr==2013

index_n_w_5 -- General Index - 5 years: no weight
--------------------------------------------------------------
                 |      Freq.    Percent      Valid       Cum.
-----------------+--------------------------------------------
Valid   .1243368 |         44      10.33      10.33      10.33
        .1311911 |          1       0.23       0.23      10.56
        .1318804 |          1       0.23       0.23      10.80
        .1323268 |          1       0.23       0.23      11.03
        .1338309 |         13       3.05       3.05      14.08
        .1340147 |          1       0.23       0.23      14.32
        .1354041 |          1       0.23       0.23      14.55
        .1365171 |         15       3.52       3.52      18.08
        .1390901 |          1       0.23       0.23      18.31
        .1412313 |          2       0.47       0.47      18.78
        .1412656 |          1       0.23       0.23      19.01
        .1433713 |          1       0.23       0.23      19.25
        .1435039 |          1       0.23       0.23      19.48
        .1436305 |          5       1.17       1.17      20.66
        .1447723 |          1       0.23       0.23      20.89
        .1462693 |          6       1.41       1.41      22.30
        .1464004 |          2       0.47       0.47      22.77
        .1489208 |          1       0.23       0.23      23.00
        .1500563 |          1       0.23       0.23      23.24
        .150554  |          1       0.23       0.23      23.47
        :        |          :          :          :          :
        1.166942 |          1       0.23       0.23      95.31
        1.172758 |          1       0.23       0.23      95.54
        1.184523 |          1       0.23       0.23      95.77
        1.197595 |          1       0.23       0.23      96.01
        1.200722 |          1       0.23       0.23      96.24
        1.208195 |          1       0.23       0.23      96.48
        1.225246 |          1       0.23       0.23      96.71
        1.225634 |          1       0.23       0.23      96.95
        1.271793 |          1       0.23       0.23      97.18
        1.29848  |          1       0.23       0.23      97.42
        1.298517 |          1       0.23       0.23      97.65
        1.359312 |          1       0.23       0.23      97.89
        1.380021 |          2       0.47       0.47      98.36
        1.398446 |          1       0.23       0.23      98.59
        1.436532 |          1       0.23       0.23      98.83
        1.470297 |          1       0.23       0.23      99.06
        1.492996 |          1       0.23       0.23      99.30
        1.533852 |          1       0.23       0.23      99.53
        1.598045 |          1       0.23       0.23      99.77
        1.87656  |          1       0.23       0.23     100.00
        Total    |        426     100.00     100.00           
--------------------------------------------------------------

. *Replication of Column 1 with our index 
. cap gen jahr_since_1990 = jahr-1990

. 
. eststo M3: areg turnout index_n_w_5 c.jahr_since_1990 c.jahr_since_1990#c.jahr_since_1990, cluster(gemeinde) absorb(gemeinde ) 
> //  

Linear regression, absorbing indicators            Number of obs     =   2,556
Absorbed variable: gemeinde                        No. of categories =     426
                                                   F(3, 425)         = 1993.46
                                                   Prob > F          =  0.0000
                                                   R-squared         =  0.9030
                                                   Adj R-squared     =  0.8834
                                                   Root MSE          =  1.8025

                                                    (Std. err. adjusted for 426 clusters in gemeinde)
-----------------------------------------------------------------------------------------------------
                                    |               Robust
                            turnout | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------------------+----------------------------------------------------------------
                        index_n_w_5 |  -1.614409   .0557613   -28.95   0.000    -1.724011   -1.504807
                    jahr_since_1990 |   -.086301   .0217533    -3.97   0.000    -.1290584   -.0435437
                                    |
c.jahr_since_1990#c.jahr_since_1990 |  -.0186809   .0007329   -25.49   0.000    -.0201215   -.0172403
                                    |
                              _cons |   86.91323   .1796046   483.91   0.000     86.56021    87.26626
-----------------------------------------------------------------------------------------------------

. estadd local municipality "Yes" , replace 

added macro:
       e(municipality) : "Yes"

. estadd local election "No" , replace 

added macro:
           e(election) : "No"

. estadd local controls "No" , replace

added macro:
           e(controls) : "No"

. 
. *Replication of Column 2 with our index 
. eststo M4: areg turnout index_n_w_5 c.jahr_since_1990 c.jahr_since_1990#c.jahr_since_1990 $controls, cluster(gemeinde) absorb(g
> emeinde) 

Linear regression, absorbing indicators             Number of obs     =  2,556
Absorbed variable: gemeinde                         No. of categories =    426
                                                    F(18, 425)        = 404.42
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9123
                                                    Adj R-squared     = 0.8939
                                                    Root MSE          = 1.7197

                                                    (Std. err. adjusted for 426 clusters in gemeinde)
-----------------------------------------------------------------------------------------------------
                                    |               Robust
                            turnout | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------------------+----------------------------------------------------------------
                        index_n_w_5 |  -1.411074   .0665642   -21.20   0.000     -1.54191   -1.280238
                    jahr_since_1990 |   .0395925   .0391612     1.01   0.313    -.0373813    .1165663
                                    |
c.jahr_since_1990#c.jahr_since_1990 |  -.0223655   .0013921   -16.07   0.000    -.0251017   -.0196293
                                    |
                    wahlberechtigte |    -.00015    .000191    -0.78   0.433    -.0005255    .0002255
                                pop |    .000136   .0001556     0.87   0.382    -.0001698    .0004419
                           punter15 |   .1288106    .073616     1.75   0.081    -.0158861    .2735073
                            ueber65 |   .0152553   .0628735     0.24   0.808    -.1083265    .1388372
                        sharefemale |   .5783561     .12565     4.60   0.000     .3313834    .8253289
                         foreigners |   .0477188   .0521565     0.91   0.361    -.0547981    .1502357
                            density |   .0036341   .0076434     0.48   0.635    -.0113895    .0186578
                           bip_real |  -.0003987   .0001892    -2.11   0.036    -.0007706   -.0000269
                           parallel |   .9577484     .24323     3.94   0.000      .479665    1.435832
                              vscdu |  -5.678949   1.305064    -4.35   0.000    -8.244132   -3.113765
                              vsspd |  -.6526739    1.52803    -0.43   0.669     -3.65611    2.350763
                            vsgreen |   8.258604   1.577538     5.24   0.000     5.157856    11.35935
                              vsfdp |  -5.300158   2.970922    -1.78   0.075    -11.13969    .5393728
               politicalcompetition |  -.3143024   .2241981    -1.40   0.162    -.7549776    .1263728
          number_voter_associations |    .086351   .1117513     0.77   0.440    -.1333031    .3060051
                              _cons |   57.35881    6.39215     8.97   0.000     44.79464    69.92297
-----------------------------------------------------------------------------------------------------

. estadd local municipality "Yes" , replace 

added macro:
       e(municipality) : "Yes"

. estadd local election "No" , replace 

added macro:
           e(election) : "No"

. estadd local controls "Yes" , replace

added macro:
           e(controls) : "Yes"

. 
. cd `"${beg_path}Results"'
C:\Users\fkostelk\Dropbox\Replication_EF\Results

. 
. esttab M1 M2 M3 M4 using Table_3.tex, one incelldelimite("\:") stats(municipality election controls N r2, labels("Municipality 
> FE" "Election FE" "Controls"  "N" "R2") layout("\multicolumn{1}{c}{@}" ///
> "\multicolumn{1}{c}{@}"  "\multicolumn{1}{c}{@}"  "\multicolumn{1}{c}{$@$}" "\multicolumn{1}{c}{$@$}") fmt(0 0 2))  ///
>                 replace b(2) se(2) wide staraux ///
>                 star(+ 0.1 * 0.05 ** 0.01 *** 0.001) eqlabels(none) order(days1_100 index_n_w_5 jahr_since_1990 c.jahr_since_19
> 90#c.jahr_since_1990) keep(days1_100 index_n_w_5 jahr_since_1990 c.jahr_since_1990#c.jahr_since_1990 _cons) ///
>                 varlabels(days1_100 "Dummy: Days 1-100" index_n_w_5 "IEF" jahr_since_1990 "Years (since 1990)" c.jahr_since_199
> 0#c.jahr_since_1990 "Years (since 1990)^2" _cons "Constant") ///
>                 nolegend note("") nomtitles alignment(d{10})
(output written to Table_3.tex)

. 
. ***********************
. * Electronic Appendix *
. ***********************
. 
. *-----------------------------*
. *       Table A 11
. *-----------------------------*
. 
. *Replication of Garmann: Table 4 & Column 1 
. eststo clear

. eststo M1: areg turnout days i.election_fixed if  jahr <2013, cluster(gemeinde) absorb(gemeinde) //  Our result: .0027693; p = 
> 0.001 

Linear regression, absorbing indicators            Number of obs     =   2,130
Absorbed variable: gemeinde                        No. of categories =     426
                                                   F(5, 425)         = 1253.62
                                                   Prob > F          =  0.0000
                                                   R-squared         =  0.9393
                                                   Adj R-squared     =  0.9239
                                                   Root MSE          =  1.3336

                               (Std. err. adjusted for 426 clusters in gemeinde)
--------------------------------------------------------------------------------
               |               Robust
       turnout | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
---------------+----------------------------------------------------------------
          days |   .0000842   .0002367     0.36   0.722    -.0003811    .0005495
               |
election_fixed |
    18.9.2005  |  -3.359402   .1229466   -27.32   0.000    -3.601061   -3.117743
    22.9.2002  |  -1.967727   .1265093   -15.55   0.000    -2.216389   -1.719065
    27.9.1998  |   2.195817   .1097194    20.01   0.000     1.980157    2.411477
    27.9.2009  |   -8.47674   .1414304   -59.94   0.000     -8.75473   -8.198749
               |
         _cons |   83.44427   .0683819  1220.27   0.000     83.30986    83.57868
--------------------------------------------------------------------------------

. estadd local municipality "Yes" , replace 

added macro:
       e(municipality) : "Yes"

. estadd local election  "Yes" , replace 

added macro:
           e(election) : "Yes"

. estadd local controls "No" , replace 

added macro:
           e(controls) : "No"

. 
. *Replication of Garmann: Table 4 & Column 2 
. eststo M2:  areg turnout days $controls  i.election_fixed if  jahr <2013, cluster(gemeinde) absorb(gemeinde) //  Our result: .0
> 027693; p = 0.001 

Linear regression, absorbing indicators             Number of obs     =  2,130
Absorbed variable: gemeinde                         No. of categories =    426
                                                    F(20, 425)        = 424.27
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9470
                                                    Adj R-squared     = 0.9330
                                                    Root MSE          = 1.2520

                                          (Std. err. adjusted for 426 clusters in gemeinde)
-------------------------------------------------------------------------------------------
                          |               Robust
                  turnout | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                     days |   .0000108   .0002316     0.05   0.963    -.0004443     .000466
          wahlberechtigte |  -.0000191   .0001611    -0.12   0.906    -.0003357    .0002976
                      pop |   .0001235   .0001099     1.12   0.262    -.0000926    .0003396
                 punter15 |   .1888673   .0752975     2.51   0.013     .0408653    .3368692
                  ueber65 |   .3432579   .0750437     4.57   0.000     .1957548     .490761
              sharefemale |   .2262482   .1341125     1.69   0.092    -.0373582    .4898546
               foreigners |  -.0736164   .0539309    -1.37   0.173    -.1796209    .0323881
                  density |   .0056929   .0054141     1.05   0.294    -.0049489    .0163347
                 bip_real |   .0004192   .0001463     2.87   0.004     .0001317    .0007068
                 parallel |   1.475943   .2945381     5.01   0.000     .8970107    2.054876
                    vscdu |   .0008127   1.167129     0.00   0.999    -2.293252    2.294877
                    vsspd |  -.1971692   1.263533    -0.16   0.876    -2.680721    2.286383
                  vsgreen |   1.158525   1.964973     0.59   0.556     -2.70375    5.020799
                    vsfdp |   3.011515   2.399306     1.26   0.210    -1.704468    7.727499
     politicalcompetition |   .0735174   .2043417     0.36   0.719    -.3281289    .4751636
number_voter_associations |   .1075984   .1162705     0.93   0.355    -.1209384    .3361351
                          |
           election_fixed |
               18.9.2005  |  -4.785432   .3185959   -15.02   0.000    -5.411652   -4.159212
               22.9.2002  |  -3.013975    .222991   -13.52   0.000    -3.452277   -2.575672
               27.9.1998  |   1.859813   .1316216    14.13   0.000     1.601102    2.118523
               27.9.2009  |  -10.50087   .4827853   -21.75   0.000    -11.44981   -9.551921
                          |
                    _cons |   58.14028   6.682171     8.70   0.000     45.00607     71.2745
-------------------------------------------------------------------------------------------

. estadd local municipality "Yes" , replace 

added macro:
       e(municipality) : "Yes"

. estadd local election  "Yes" , replace 

added macro:
           e(election) : "Yes"

. estadd local controls "Yes" , replace

added macro:
           e(controls) : "Yes"

. 
. *Replication of Column 1 with a different operationalisation (dummy, election in the last 100 days)
. eststo M3: areg turnout days1_100 i.election_fixed if jahr <2013, cluster(gemeinde) absorb(gemeinde) //  Our result: .0027693; 
> p = 0.001 

Linear regression, absorbing indicators            Number of obs     =   2,130
Absorbed variable: gemeinde                        No. of categories =     426
                                                   F(5, 425)         = 1271.26
                                                   Prob > F          =  0.0000
                                                   R-squared         =  0.9395
                                                   Adj R-squared     =  0.9242
                                                   Root MSE          =  1.3312

                               (Std. err. adjusted for 426 clusters in gemeinde)
--------------------------------------------------------------------------------
               |               Robust
       turnout | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
---------------+----------------------------------------------------------------
     days1_100 |  -.3448629   .1561532    -2.21   0.028    -.6517917   -.0379342
               |
election_fixed |
    18.9.2005  |  -3.355675   .0997255   -33.65   0.000    -3.551692   -3.159658
    22.9.2002  |  -1.959667   .0923646   -21.22   0.000    -2.141215   -1.778119
    27.9.1998  |   2.204771   .0672795    32.77   0.000     2.072529    2.337013
    27.9.2009  |    -8.4894    .142135   -59.73   0.000    -8.768775   -8.210025
               |
         _cons |   83.48801   .0687725  1213.97   0.000     83.35284    83.62319
--------------------------------------------------------------------------------

. estadd local municipality "Yes" , replace 

added macro:
       e(municipality) : "Yes"

. estadd local election  "Yes" , replace 

added macro:
           e(election) : "Yes"

. estadd local controls "No" , replace

added macro:
           e(controls) : "No"

. 
. *Replication of Column 2 with a different operationalisation (dummy, election in the last 100 days) 
. eststo M4: areg turnout days1_100  $controls  i.election_fixed if  jahr <2013, cluster(gemeinde) absorb(gemeinde) 

Linear regression, absorbing indicators             Number of obs     =  2,130
Absorbed variable: gemeinde                         No. of categories =    426
                                                    F(20, 425)        = 432.70
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9473
                                                    Adj R-squared     = 0.9334
                                                    Root MSE          = 1.2479

                                          (Std. err. adjusted for 426 clusters in gemeinde)
-------------------------------------------------------------------------------------------
                          |               Robust
                  turnout | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                days1_100 |  -.4305438    .152174    -2.83   0.005    -.7296512   -.1314364
          wahlberechtigte |  -.0000311   .0001565    -0.20   0.843    -.0003387    .0002765
                      pop |   .0001305   .0001083     1.21   0.229    -.0000824    .0003433
                 punter15 |   .1862702   .0751817     2.48   0.014      .038496    .3340445
                  ueber65 |   .3401496   .0757937     4.49   0.000     .1911723    .4891268
              sharefemale |   .2260092   .1355881     1.67   0.096    -.0404975     .492516
               foreigners |  -.0725197   .0540459    -1.34   0.180    -.1787502    .0337108
                  density |   .0058437   .0054093     1.08   0.281    -.0047886    .0164759
                 bip_real |   .0004226   .0001459     2.90   0.004     .0001358    .0007094
                 parallel |   1.510226   .2951277     5.12   0.000     .9301348    2.090318
                    vscdu |   -.054705   1.159248    -0.05   0.962    -2.333277    2.223867
                    vsspd |  -.3497246   1.261665    -0.28   0.782    -2.829605    2.130156
                  vsgreen |   .9893194   1.967158     0.50   0.615     -2.87725    4.855888
                    vsfdp |   3.410482   2.418126     1.41   0.159    -1.342494    8.163457
     politicalcompetition |     .06123   .2039332     0.30   0.764    -.3396132    .4620733
number_voter_associations |   .1050704   .1150808     0.91   0.362    -.1211279    .3312687
                          |
           election_fixed |
               18.9.2005  |  -4.798023   .3147491   -15.24   0.000    -5.416681   -4.179364
               22.9.2002  |  -3.033093   .2082488   -14.56   0.000    -3.442419   -2.623767
               27.9.1998  |   1.843814   .0981815    18.78   0.000     1.650833    2.036796
               27.9.2009  |  -10.51163   .4841453   -21.71   0.000    -11.46325   -9.560012
                          |
                    _cons |   58.34493   6.683408     8.73   0.000     45.20828    71.48158
-------------------------------------------------------------------------------------------

. estadd local municipality "Yes" , replace 

added macro:
       e(municipality) : "Yes"

. estadd local election  "Yes" , replace 

added macro:
           e(election) : "Yes"

. estadd local controls "Yes" , replace  

added macro:
           e(controls) : "Yes"

. 
. *Replication of Column 1 with a different operationalisation (dummy, election in the last 100 days) & including the 2013 electi
> on
. eststo M5: areg turnout days1_100 i.election_fixed if artderwahlb==1, cluster(gemeinde) absorb(gemeinde) 

Linear regression, absorbing indicators            Number of obs     =   2,556
Absorbed variable: gemeinde                        No. of categories =     426
                                                   F(6, 425)         = 1233.17
                                                   Prob > F          =  0.0000
                                                   R-squared         =  0.9395
                                                   Adj R-squared     =  0.9273
                                                   Root MSE          =  1.4238

                               (Std. err. adjusted for 426 clusters in gemeinde)
--------------------------------------------------------------------------------
               |               Robust
       turnout | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
---------------+----------------------------------------------------------------
     days1_100 |  -.6846327   .1559064    -4.39   0.000    -.9910763   -.3781891
               |
election_fixed |
    18.9.2005  |  -3.374019    .098282   -34.33   0.000    -3.567199    -3.18084
    22.9.2002  |  -1.979606   .0915703   -21.62   0.000    -2.159594   -1.799619
    22.9.2013  |  -8.709124   .1475137   -59.04   0.000    -8.999071   -8.419177
    27.9.1998  |   2.184832   .0664457    32.88   0.000     2.054228    2.315435
    27.9.2009  |  -8.501364   .1399928   -60.73   0.000    -8.776528   -8.226199
               |
         _cons |   83.52151   .0792265  1054.21   0.000     83.36579    83.67724
--------------------------------------------------------------------------------

. estadd local municipality "Yes" , replace 

added macro:
       e(municipality) : "Yes"

. estadd local election  "Yes" , replace 

added macro:
           e(election) : "Yes"

. estadd local controls "No" , replace

added macro:
           e(controls) : "No"

. 
. *Replication of Column 2 with a different operationalisation (dummy, election in the last 100 days) & including the 2013 electi
> on
. eststo M6: areg turnout days1_100 $controls  i.election_fixed if artderwahlb==1, cluster(gemeinde) absorb(gemeinde) 

Linear regression, absorbing indicators             Number of obs     =  2,556
Absorbed variable: gemeinde                         No. of categories =    426
                                                    F(21, 425)        = 487.69
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9465
                                                    Adj R-squared     = 0.9352
                                                    Root MSE          = 1.3443

                                          (Std. err. adjusted for 426 clusters in gemeinde)
-------------------------------------------------------------------------------------------
                          |               Robust
                  turnout | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                days1_100 |  -.8771486   .1642972    -5.34   0.000    -1.200085   -.5542123
          wahlberechtigte |   -.000073   .0001119    -0.65   0.514    -.0002929    .0001469
                      pop |   .0001041   .0000862     1.21   0.228    -.0000653    .0002736
                 punter15 |    .068378   .0705024     0.97   0.333    -.0701988    .2069548
                  ueber65 |   .3336403   .0614548     5.43   0.000     .2128471    .4544335
              sharefemale |   .2444765   .1151127     2.12   0.034     .0182153    .4707376
               foreigners |  -.0073543   .0456069    -0.16   0.872    -.0969974    .0822888
                  density |   .0093755   .0061368     1.53   0.127    -.0026867    .0214378
                 bip_real |   .0004268   .0001462     2.92   0.004     .0001393    .0007142
                 parallel |   1.265611   .2363367     5.36   0.000     .8010768    1.730146
                    vscdu |  -.4444281   1.031821    -0.43   0.667    -2.472536     1.58368
                    vsspd |  -1.062452   1.242675    -0.85   0.393    -3.505007    1.380103
                  vsgreen |   .9680945   1.480839     0.65   0.514    -1.942586    3.878775
                    vsfdp |   2.860314   2.522809     1.13   0.258    -2.098421     7.81905
     politicalcompetition |  -.0091355   .1797401    -0.05   0.959    -.3624257    .3441548
number_voter_associations |   .0992044   .0988656     1.00   0.316     -.095122    .2935307
                          |
           election_fixed |
               18.9.2005  |  -4.874771   .2662841   -18.31   0.000    -5.398168   -4.351373
               22.9.2002  |  -3.018545   .1799757   -16.77   0.000    -3.372298   -2.664792
               22.9.2013  |  -11.00855   .4623015   -23.81   0.000    -11.91723   -10.09987
               27.9.1998  |   1.836783   .0915749    20.06   0.000     1.656787    2.016779
               27.9.2009  |  -10.68723   .4122183   -25.93   0.000    -11.49747    -9.87699
                          |
                    _cons |   59.24977   5.785331    10.24   0.000     47.87835     70.6212
-------------------------------------------------------------------------------------------

. estadd local municipality "Yes" , replace 

added macro:
       e(municipality) : "Yes"

. estadd local election  "Yes" , replace 

added macro:
           e(election) : "Yes"

. estadd local controls "Yes" , replace

added macro:
           e(controls) : "Yes"

. 
. *Replication of Column 1 with our index 
. eststo M7: areg turnout index_n_w_5 c.jahr_since_1990 c.jahr_since_1990#c.jahr_since_1990, cluster(gemeinde) absorb(gemeinde ) 
> //  

Linear regression, absorbing indicators            Number of obs     =   2,556
Absorbed variable: gemeinde                        No. of categories =     426
                                                   F(3, 425)         = 1993.46
                                                   Prob > F          =  0.0000
                                                   R-squared         =  0.9030
                                                   Adj R-squared     =  0.8834
                                                   Root MSE          =  1.8025

                                                    (Std. err. adjusted for 426 clusters in gemeinde)
-----------------------------------------------------------------------------------------------------
                                    |               Robust
                            turnout | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------------------+----------------------------------------------------------------
                        index_n_w_5 |  -1.614409   .0557613   -28.95   0.000    -1.724011   -1.504807
                    jahr_since_1990 |   -.086301   .0217533    -3.97   0.000    -.1290584   -.0435437
                                    |
c.jahr_since_1990#c.jahr_since_1990 |  -.0186809   .0007329   -25.49   0.000    -.0201215   -.0172403
                                    |
                              _cons |   86.91323   .1796046   483.91   0.000     86.56021    87.26626
-----------------------------------------------------------------------------------------------------

. estadd local municipality "Yes" , replace 

added macro:
       e(municipality) : "Yes"

. estadd local election "No" , replace 

added macro:
           e(election) : "No"

. estadd local controls "No" , replace

added macro:
           e(controls) : "No"

. 
. *Replication of Column 2 with our index 
. eststo M8: areg turnout index_n_w_5 c.jahr_since_1990 c.jahr_since_1990#c.jahr_since_1990 $controls , cluster(gemeinde) absorb(
> gemeinde) 

Linear regression, absorbing indicators             Number of obs     =  2,556
Absorbed variable: gemeinde                         No. of categories =    426
                                                    F(18, 425)        = 404.42
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9123
                                                    Adj R-squared     = 0.8939
                                                    Root MSE          = 1.7197

                                                    (Std. err. adjusted for 426 clusters in gemeinde)
-----------------------------------------------------------------------------------------------------
                                    |               Robust
                            turnout | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------------------+----------------------------------------------------------------
                        index_n_w_5 |  -1.411074   .0665642   -21.20   0.000     -1.54191   -1.280238
                    jahr_since_1990 |   .0395925   .0391612     1.01   0.313    -.0373813    .1165663
                                    |
c.jahr_since_1990#c.jahr_since_1990 |  -.0223655   .0013921   -16.07   0.000    -.0251017   -.0196293
                                    |
                    wahlberechtigte |    -.00015    .000191    -0.78   0.433    -.0005255    .0002255
                                pop |    .000136   .0001556     0.87   0.382    -.0001698    .0004419
                           punter15 |   .1288106    .073616     1.75   0.081    -.0158861    .2735073
                            ueber65 |   .0152553   .0628735     0.24   0.808    -.1083265    .1388372
                        sharefemale |   .5783561     .12565     4.60   0.000     .3313834    .8253289
                         foreigners |   .0477188   .0521565     0.91   0.361    -.0547981    .1502357
                            density |   .0036341   .0076434     0.48   0.635    -.0113895    .0186578
                           bip_real |  -.0003987   .0001892    -2.11   0.036    -.0007706   -.0000269
                           parallel |   .9577484     .24323     3.94   0.000      .479665    1.435832
                              vscdu |  -5.678949   1.305064    -4.35   0.000    -8.244132   -3.113765
                              vsspd |  -.6526739    1.52803    -0.43   0.669     -3.65611    2.350763
                            vsgreen |   8.258604   1.577538     5.24   0.000     5.157856    11.35935
                              vsfdp |  -5.300158   2.970922    -1.78   0.075    -11.13969    .5393728
               politicalcompetition |  -.3143024   .2241981    -1.40   0.162    -.7549776    .1263728
          number_voter_associations |    .086351   .1117513     0.77   0.440    -.1333031    .3060051
                              _cons |   57.35881    6.39215     8.97   0.000     44.79464    69.92297
-----------------------------------------------------------------------------------------------------

. estadd local municipality "Yes" , replace 

added macro:
       e(municipality) : "Yes"

. estadd local election "No" , replace 

added macro:
           e(election) : "No"

. estadd local controls "Yes" , replace

added macro:
           e(controls) : "Yes"

. 
. 
. esttab M1 M2 M3 M4 M5 M6 M7 M8 using A_Table_11.tex, one incelldelimite("\:") stats(municipality election N r2, labels("Municip
> ality FE" "Election FE" "N" "R2") layout(  "\multicolumn{1}{c}{@}"  "\multicolumn{1}{c}{@}"  "\multicolumn{1}{c}{$@$}" ///
> "\multicolumn{1}{c}{$@$}") fmt(0 0 2))  ///
>                 replace b(2) se(2) wide staraux ///
>                 star(+ 0.1 * 0.05 ** 0.01 *** 0.001) eqlabels(none) order(days days1_100 index_n_w_5 jahr_since_1990 c.jahr_sin
> ce_1990#c.jahr_since_1990)  drop(*.election*) ///
>                 varlabels(days "Days" days1_100 "Dummy: Days 1-100" index_n_w_5 "IEF" jahr_since_1990 "Years (since 1990)" c.ja
> hr_since_1990#c.jahr_since_1990 "Years (since 1990)^2" _cons "Constant" days "Days" days1_100 "Dummy: Days 1 \textendash 100" /
> // 
>                 time_function "Days (IEF  function)" index_n_w_5 "IEF" jahr_since_1990 "Years (since 1990)" wahlberechtigte "Re
> gistered voters" ///
>                 pop "Population size" punter15 "Proportion of youth (0-15)"  ueber65 "Proportion of elderly (+65)" /// 
>                 sharefemale "Proportion of females" foreigners "Proportion of foreigners" density "Population density" ///
>                 bip_real "Real GDP per capita" parallel "Concurrent elections" vscdu "Vote share CDU" vsspd "Vote share SPD" //
> /
>                 vsgreen "Vote share Green" vsfdp "Vote share FDP" politicalcompetition "Political competition" /// 
>                 number_voter_associations "Number of local party lists") ///
>                 refcat(days "\textit{Election Frequency:}" jahr_since_1990 "\textit{Controls}" , nolabel) ///
>                 nolegend note("") nomtitles alignment(d{10})            
(output written to A_Table_11.tex)

.                 
. 
. *-----------------------------*
. *       Table A 12
. *-----------------------------*         
.                 
. *Robustness checks              
. 
. gen time_function = 1/exp(days/365.25)

. 
. eststo clear 

. 
. *Replication of Column 1 with a different operationalisation (dummy, election in the last 100 days)  
. eststo M1: areg turnout time_function i.election_fixed if artderwahlb==1, cluster(gemeinde) absorb(gemeinde) 

Linear regression, absorbing indicators            Number of obs     =   2,556
Absorbed variable: gemeinde                        No. of categories =     426
                                                   F(6, 425)         = 1225.01
                                                   Prob > F          =  0.0000
                                                   R-squared         =  0.9392
                                                   Adj R-squared     =  0.9268
                                                   Root MSE          =  1.4280

                               (Std. err. adjusted for 426 clusters in gemeinde)
--------------------------------------------------------------------------------
               |               Robust
       turnout | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
---------------+----------------------------------------------------------------
 time_function |  -.7298354   .2313783    -3.15   0.002    -1.184624   -.2750471
               |
election_fixed |
    18.9.2005  |  -3.593374   .1346198   -26.69   0.000    -3.857978   -3.328771
    22.9.2002  |  -2.236958   .1371357   -16.31   0.000    -2.506506   -1.967409
    22.9.2013  |  -9.043324   .2015464   -44.87   0.000    -9.439476   -8.647172
    27.9.1998  |   1.920416   .1186937    16.18   0.000     1.687116    2.153715
    27.9.2009  |  -8.470053   .1383622   -61.22   0.000    -8.742013   -8.198094
               |
         _cons |   83.98769   .1966259   427.14   0.000     83.60121    84.37417
--------------------------------------------------------------------------------

. estadd local municipality "Yes" , replace 

added macro:
       e(municipality) : "Yes"

. estadd local election  "Yes" , replace 

added macro:
           e(election) : "Yes"

. estadd local controls "No" , replace

added macro:
           e(controls) : "No"

. estadd local lmuniptrend "No" , replace

added macro:
        e(lmuniptrend) : "No"

. estadd local qmuniptrend "No" , replace

added macro:
        e(qmuniptrend) : "No"

. *Replication of Column 2 with a different operationalisation (dummy, election in the last 100 days) 
. eststo M2: areg turnout time_function $controls  i.election_fixed if artderwahlb==1, cluster(gemeinde) absorb(gemeinde)  

Linear regression, absorbing indicators             Number of obs     =  2,556
Absorbed variable: gemeinde                         No. of categories =    426
                                                    F(21, 425)        = 475.56
                                                    Prob > F          = 0.0000
                                                    R-squared         = 0.9457
                                                    Adj R-squared     = 0.9343
                                                    Root MSE          = 1.3536

                                          (Std. err. adjusted for 426 clusters in gemeinde)
-------------------------------------------------------------------------------------------
                          |               Robust
                  turnout | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
            time_function |  -.7935628   .2460941    -3.22   0.001    -1.277276   -.3098497
          wahlberechtigte |  -.0000795    .000116    -0.69   0.494    -.0003076    .0001486
                      pop |     .00011   .0000889     1.24   0.217    -.0000648    .0002847
                 punter15 |   .0645554   .0711551     0.91   0.365    -.0753042    .2044151
                  ueber65 |   .3324044   .0614423     5.41   0.000     .2116358    .4531731
              sharefemale |   .2467779   .1147582     2.15   0.032     .0212136    .4723422
               foreigners |  -.0088462   .0463593    -0.19   0.849    -.0999683    .0822758
                  density |   .0092277   .0062203     1.48   0.139    -.0029986    .0214541
                 bip_real |   .0004156   .0001468     2.83   0.005     .0001271    .0007041
                 parallel |   1.160793   .2376221     4.89   0.000      .693732    1.627854
                    vscdu |  -.3522079   1.040764    -0.34   0.735    -2.397894    1.693478
                    vsspd |  -.8801293   1.256698    -0.70   0.484    -3.350246    1.589988
                  vsgreen |   1.237839   1.489978     0.83   0.407    -1.690806    4.166483
                    vsfdp |   2.471538   2.465861     1.00   0.317    -2.375264     7.31834
     politicalcompetition |   .0042273   .1823158     0.02   0.982    -.3541256    .3625802
number_voter_associations |   .1025503   .1002994     1.02   0.307    -.0945942    .2996949
                          |
           election_fixed |
               18.9.2005  |  -5.102963   .2767816   -18.44   0.000    -5.646994   -4.558932
               22.9.2002  |  -3.280022   .2023193   -16.21   0.000    -3.677693   -2.882351
               22.9.2013  |  -11.36403   .4767096   -23.84   0.000    -12.30104   -10.42703
               27.9.1998  |   1.553461   .1342365    11.57   0.000     1.289611    1.817311
               27.9.2009  |  -10.63379   .4125989   -25.77   0.000    -11.44478   -9.822799
                          |
                    _cons |    59.6694   5.833854    10.23   0.000      48.2026     71.1362
-------------------------------------------------------------------------------------------

. estadd local municipality "Yes" , replace 

added macro:
       e(municipality) : "Yes"

. estadd local election  "Yes" , replace 

added macro:
           e(election) : "Yes"

. estadd local controls "Yes" , replace

added macro:
           e(controls) : "Yes"

. estadd local lmuniptrend "No" , replace

added macro:
        e(lmuniptrend) : "No"

. estadd local qmuniptrend "No" , replace

added macro:
        e(qmuniptrend) : "No"

. *IEF with municipality-specific linear trend 
. eststo M3: areg turnout index_n_w_5 c.jahr_since_1990 c.jahr_since_1990#i.gemeinde $controls, cluster(gemeinde) absorb(gemeinde
>  )  

Linear regression, absorbing indicators             Number of obs     =  2,556
Absorbed variable: gemeinde                         No. of categories =    426
                                                    F(16, 425)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9429
                                                    Adj R-squared     = 0.9136
                                                    Root MSE          = 1.3869

                                           (Std. err. adjusted for 426 clusters in gemeinde)
--------------------------------------------------------------------------------------------
                           |               Robust
                   turnout | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
---------------------------+----------------------------------------------------------------
               index_n_w_5 |  -1.101196   .0827735   -13.30   0.000    -1.263892   -.9384995
           jahr_since_1990 |  -.5299323   .0404993   -13.08   0.000    -.6095361   -.4503285
                           |
gemeinde#c.jahr_since_1990 |
                        2  |   .4334115   .1370768     3.16   0.002     .1639786    .7028444
                        3  |  -.5289882   .0587611    -9.00   0.000    -.6444869   -.4134896
                        4  |  -.1298649   .0356735    -3.64   0.000    -.1999833   -.0597464
                        5  |   .4743024   .0572276     8.29   0.000     .3618181    .5867867
                        6  |   .3285561   .0445384     7.38   0.000     .2410132    .4160991
                        7  |   .2356036   .0465322     5.06   0.000     .1441417    .3270656
                        8  |   .3896549   .0575744     6.77   0.000     .2764888     .502821
                        9  |   .2252601   .0525902     4.28   0.000     .1218908    .3286294
                       10  |   .4710777   .0552381     8.53   0.000     .3625037    .5796516
                       11  |   .3740719   .0514637     7.27   0.000     .2729168     .475227
                       12  |   .3050323   .0607234     5.02   0.000     .1856767    .4243879
                       13  |   .2295623   .0523835     4.38   0.000     .1265993    .3325253
                       14  |   .3912117   .0517036     7.57   0.000     .2895852    .4928382
                       15  |   .3083711   .0434537     7.10   0.000     .2229601     .393782
                       16  |  -.0092087   .0540763    -0.17   0.865    -.1154991    .0970816
                       17  |   .2378133   .0576819     4.12   0.000     .1244359    .3511907
                       18  |   .3017488   .0560127     5.39   0.000     .1916524    .4118452
                       19  |   .3520221   .0488547     7.21   0.000     .2559951    .4480491
                       20  |   .2836829   .0542594     5.23   0.000     .1770328    .3903331
                       21  |   .5060103   .0579888     8.73   0.000     .3920297     .619991
                       22  |   .0457857   .0521422     0.88   0.380     -.056703    .1482743
                       23  |   .2202335   .0556096     3.96   0.000     .1109293    .3295377
                       24  |   .0773352   .0612435     1.26   0.207    -.0430427     .197713
                       25  |   .2041159   .0481729     4.24   0.000     .1094291    .2988026
                       26  |   .5917512   .0539306    10.97   0.000     .4857473     .697755
                       27  |   .4785472   .0565202     8.47   0.000     .3674533    .5896411
                       28  |   .3617098   .0485733     7.45   0.000      .266236    .4571836
                       29  |    .349468   .0635365     5.50   0.000     .2245831    .4743528
                       30  |   .2666655   .0580734     4.59   0.000     .1525188    .3808123
                       31  |   .4822238   .0591724     8.15   0.000     .3659169    .5985307
                       32  |   .0784766   .0867026     0.91   0.366    -.0919426    .2488958
                       33  |   .5386728   .0554253     9.72   0.000      .429731    .6476147
                       34  |   .1848302   .0755784     2.45   0.015     .0362762    .3333842
                       35  |    .042511   .0479003     0.89   0.375    -.0516398    .1366619
                       36  |   .4893828   .0482536    10.14   0.000     .3945375    .5842282
                       37  |   .3130673   .0510925     6.13   0.000     .2126418    .4134928
                       38  |   .5117668   .0638905     8.01   0.000      .386186    .6373476
                       39  |   .4605582    .053536     8.60   0.000       .35533    .5657865
                       40  |   .4616687   .0485495     9.51   0.000     .3662417    .5570958
                       41  |   .3312452   .0556425     5.95   0.000     .2218766    .4406139
                       42  |   .2963069   .0488987     6.06   0.000     .2001935    .3924203
                       43  |    .435744   .0433643    10.05   0.000     .3505088    .5209793
                       44  |   .2481798      .0492     5.04   0.000     .1514742    .3448853
                       45  |   .5133249   .0660322     7.77   0.000     .3835346    .6431151
                       46  |   .3085474   .0487365     6.33   0.000     .2127528    .4043421
                       47  |   .4131172   .0494698     8.35   0.000     .3158813    .5103531
                       48  |    .443523   .0644794     6.88   0.000     .3167847    .5702613
                       49  |   .2133907    .047439     4.50   0.000     .1201465     .306635
                       50  |   .2723165   .0488147     5.58   0.000     .1763683    .3682647
                       51  |  -.0866648   .0574962    -1.51   0.132    -.1996771    .0263474
                       52  |   .2706664   .0534512     5.06   0.000     .1656047     .375728
                       53  |    .408185   .0443583     9.20   0.000     .3209959     .495374
                       54  |   -.041035    .049421    -0.83   0.407     -.138175    .0561051
                       55  |   .2063858   .0390301     5.29   0.000     .1296696    .2831019
                       56  |   .1642884   .0525149     3.13   0.002      .061067    .2675097
                       57  |   .1709577   .0435264     3.93   0.000     .0854039    .2565114
                       58  |   .3144981   .0655516     4.80   0.000     .1856523    .4433438
                       59  |  -.6322859   .1279077    -4.94   0.000    -.8836964   -.3808754
                       60  |   .2533804   .0458635     5.52   0.000      .163233    .3435279
                       61  |  -.2023509    .050042    -4.04   0.000    -.3007115   -.1039904
                       62  |    .362429   .0549127     6.60   0.000     .2544946    .4703634
                       63  |   .3284833   .0540117     6.08   0.000     .2223199    .4346467
                       64  |   .1054901    .043522     2.42   0.016     .0199449    .1910352
                       65  |   .4968752   .0660129     7.53   0.000     .3671229    .6266276
                       66  |   .3848275   .0635667     6.05   0.000     .2598832    .5097719
                       67  |   .1957439   .0443265     4.42   0.000     .1086175    .2828703
                       68  |   .3097742   .0555908     5.57   0.000      .200507    .4190413
                       69  |   .1455588   .0551273     2.64   0.009     .0372028    .2539149
                       70  |   .6316113   .0548219    11.52   0.000     .5238555    .7393672
                       71  |   .2152244   .0507377     4.24   0.000     .1154964    .3149524
                       72  |   .4043446    .044266     9.13   0.000      .317337    .4913522
                       73  |   .1807658   .0767854     2.35   0.019     .0298394    .3316922
                       74  |   .3851228    .055803     6.90   0.000     .2754385    .4948071
                       75  |   .4991264   .0607786     8.21   0.000     .3796624    .6185904
                       76  |   .5520762   .0531165    10.39   0.000     .4476724    .6564799
                       77  |   .0212139   .0491432     0.43   0.666    -.0753802    .1178079
                       78  |   .2469811   .0578278     4.27   0.000      .133317    .3606452
                       79  |   .5637228   .0487213    11.57   0.000     .4679581    .6594874
                       80  |   .3792681   .0443106     8.56   0.000     .2921729    .4663633
                       81  |   .2370221   .0461899     5.13   0.000      .146233    .3278113
                       82  |   .3420117   .0623524     5.49   0.000     .2194541    .4645692
                       83  |   .1723557   .0539172     3.20   0.001     .0663781    .2783333
                       84  |   .4332586   .0490752     8.83   0.000     .3367982    .5297189
                       85  |   .4509115    .047249     9.54   0.000     .3580407    .5437823
                       86  |   .4931515    .047587    10.36   0.000     .3996162    .5866867
                       87  |   .3641771    .063465     5.74   0.000     .2394327    .4889216
                       88  |   .2949003   .0534731     5.51   0.000     .1897956     .400005
                       89  |   .4624114   .0575657     8.03   0.000     .3492625    .5755603
                       90  |  -.0836299   .0417189    -2.00   0.046    -.1656309   -.0016289
                       91  |   .4900873   .0540566     9.07   0.000     .3838358    .5963388
                       92  |   .7456358   .0700806    10.64   0.000      .607888    .8833835
                       93  |   .3036378   .0537326     5.65   0.000     .1980231    .4092525
                       94  |   .4418118   .0462224     9.56   0.000     .3509589    .5326647
                       95  |    .117776   .0647047     1.82   0.069    -.0094051     .244957
                       96  |   .4064444   .0594374     6.84   0.000     .2896166    .5232723
                       97  |   .4213517   .0491708     8.57   0.000     .3247035    .5179999
                       98  |   .0331643    .069846     0.47   0.635    -.1041223     .170451
                       99  |   .4835186   .0806841     5.99   0.000      .324929    .6421082
                      100  |   .4052242   .0548609     7.39   0.000     .2973918    .5130566
                      101  |    .110013    .044342     2.48   0.013     .0228559      .19717
                      102  |   .3854975   .0516038     7.47   0.000      .284067     .486928
                      103  |   .3676447   .0545046     6.75   0.000     .2605125    .4747768
                      104  |    .114469   .0538647     2.13   0.034     .0085947    .2203433
                      105  |    .286291   .0518421     5.52   0.000     .1843922    .3881898
                      106  |   .1979248   .0717003     2.76   0.006     .0569935    .3388562
                      107  |   .3641684   .0575454     6.33   0.000     .2510593    .4772775
                      108  |   .2586498   .0878282     2.94   0.003     .0860182    .4312815
                      109  |   .1995271   .0619714     3.22   0.001     .0777185    .3213356
                      110  |   .1010245   .0538206     1.88   0.061    -.0047631    .2068122
                      111  |   .3332154    .062066     5.37   0.000     .2112208    .4552099
                      112  |   .3217233   .0419824     7.66   0.000     .2392043    .4042424
                      113  |   .2079285   .0613078     3.39   0.001     .0874243    .3284327
                      114  |   .2891151   .0619372     4.67   0.000     .1673737    .4108564
                      115  |   .2685254   .1304018     2.06   0.040     .0122126    .5248383
                      116  |   .0643089    .067517     0.95   0.341    -.0683999    .1970177
                      117  |   .2882453   .0486302     5.93   0.000     .1926596     .383831
                      118  |   .2829688   .0616594     4.59   0.000     .1617735     .404164
                      119  |   .3192855   .0466551     6.84   0.000     .2275821     .410989
                      120  |   .4114151   .0512643     8.03   0.000      .310652    .5121783
                      121  |   .2933774   .0450509     6.51   0.000     .2048271    .3819277
                      122  |   .3384938   .0472288     7.17   0.000     .2456628    .4313248
                      123  |   .0605861   .0435829     1.39   0.165    -.0250787    .1462509
                      124  |   .6200622     .05684    10.91   0.000     .5083398    .7317847
                      125  |   1.077615   .0724246    14.88   0.000     .9352597     1.21997
                      126  |   .3361793   .0446444     7.53   0.000      .248428    .4239306
                      127  |   .3061543   .0541296     5.66   0.000     .1997592    .4125494
                      128  |   .2556806   .0422049     6.06   0.000     .1727244    .3386369
                      129  |    .867117   .0653439    13.27   0.000     .7386795    .9955544
                      130  |    .435092   .0599704     7.26   0.000     .3172165    .5529674
                      131  |   .3771681   .0744673     5.06   0.000     .2307982    .5235381
                      132  |   .3847656   .0596783     6.45   0.000     .2674642     .502067
                      133  |   .1062935   .0619517     1.72   0.087    -.0154765    .2280634
                      134  |   .1134322   .0442889     2.56   0.011     .0263797    .2004847
                      135  |   .0314036   .0599879     0.52   0.601    -.0865064    .1493136
                      136  |   .3450371   .0619735     5.57   0.000     .2232245    .4668498
                      137  |   .1296428   .0700023     1.85   0.065     -.007951    .2672366
                      138  |  -.0664617   .0410738    -1.62   0.106    -.1471949    .0142715
                      139  |   .2562838   .0646657     3.96   0.000     .1291793    .3833882
                      140  |   .1631344   .0584026     2.79   0.005     .0483404    .2779283
                      141  |  -.1030928   .0553377    -1.86   0.063    -.2118625     .005677
                      142  |   .0583328   .0583194     1.00   0.318    -.0562975    .1729632
                      143  |   .3749213    .054223     6.91   0.000     .2683426       .4815
                      144  |   .3246195   .0612968     5.30   0.000     .2041368    .4451022
                      145  |    .421306   .0598278     7.04   0.000     .3037108    .5389011
                      146  |   .5494728   .0604549     9.09   0.000     .4306449    .6683006
                      147  |   .1546173   .0479591     3.22   0.001     .0603507    .2488839
                      148  |   .1980983   .0471511     4.20   0.000       .10542    .2907766
                      149  |   .3317277   .0453818     7.31   0.000      .242527    .4209284
                      150  |   .4747798   .0494011     9.61   0.000     .3776789    .5718807
                      151  |   .5066135    .060274     8.41   0.000     .3881413    .6250857
                      152  |   .5753338     .05014    11.47   0.000     .4767806     .673887
                      153  |   .4565178   .0509219     8.97   0.000     .3564276    .5566079
                      154  |   .1686967   .0478005     3.53   0.000     .0747418    .2626516
                      155  |   .4150786   .0515187     8.06   0.000     .3138154    .5163418
                      156  |   .4657922   .0582568     8.00   0.000     .3512849    .5802995
                      157  |   .4590275   .0508592     9.03   0.000     .3590607    .5589944
                      158  |   .1467026   .0525723     2.79   0.005     .0433685    .2500367
                      159  |   .4398928   .0573871     7.67   0.000     .3270949    .5526907
                      160  |   .2378003    .067717     3.51   0.000     .1046984    .3709022
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                      163  |   .4634783   .0547867     8.46   0.000     .3557917    .5711649
                      164  |   .1968702   .0361127     5.45   0.000     .1258886    .2678519
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                      168  |    .584796   .0505946    11.56   0.000     .4853492    .6842428
                      169  |   .2935505   .0546838     5.37   0.000     .1860662    .4010348
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                      175  |   .5954381   .0566523    10.51   0.000     .4840846    .7067917
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                      177  |   .4141961   .0568716     7.28   0.000     .3024114    .5259808
                      178  |   .2306767   .0464614     4.96   0.000     .1393539    .3219995
                      179  |   .2800211   .0478744     5.85   0.000      .185921    .3741212
                      180  |   .4474371   .0543289     8.24   0.000     .3406504    .5542239
                      181  |   .2147504   .0487229     4.41   0.000     .1189825    .3105182
                      182  |   .5194573   .0501401    10.36   0.000     .4209038    .6180109
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                      184  |   .6257235   .0522868    11.97   0.000     .5229506    .7284965
                      185  |    .411842   .0413564     9.96   0.000     .3305535    .4931306
                      186  |   .2560386   .0481422     5.32   0.000     .1614122     .350665
                      187  |   .5155691    .055643     9.27   0.000     .4061993    .6249388
                      188  |   .4208163   .0426726     9.86   0.000     .3369407    .5046919
                      189  |   .4289292   .0529906     8.09   0.000     .3247728    .5330855
                      190  |   .3847236   .0521881     7.37   0.000     .2821447    .4873026
                      191  |   .3726221   .0569274     6.55   0.000     .2607279    .4845163
                      192  |   .1164887   .0394046     2.96   0.003     .0390366    .1939408
                      193  |   .3095399   .0490892     6.31   0.000     .2130521    .4060277
                      194  |   .3189616   .0471291     6.77   0.000     .2263265    .4115966
                      195  |   .1070116   .0481632     2.22   0.027     .0123438    .2016794
                      196  |   .4665521   .0504893     9.24   0.000     .3673123    .5657919
                      197  |    .385426   .0462113     8.34   0.000     .2945948    .4762572
                      198  |   .2898667   .0457344     6.34   0.000     .1999729    .3797604
                      199  |   .2121054    .045468     4.66   0.000     .1227352    .3014756
                      200  |   .0724306    .048268     1.50   0.134    -.0224431    .1673043
                      201  |   .1794532   .0530289     3.38   0.001     .0752217    .2836846
                      202  |   .1758223   .0502405     3.50   0.001     .0770715     .274573
                      203  |   .3008165   .0454137     6.62   0.000     .2115531      .39008
                      204  |   .2389363   .0458288     5.21   0.000      .148857    .3290157
                      205  |   .2864151   .0493084     5.81   0.000     .1894964    .3833338
                      206  |   .0647748   .0450798     1.44   0.151    -.0238324    .1533819
                      207  |   .3987342   .0603379     6.61   0.000     .2801364     .517332
                      208  |   .2371765    .047451     5.00   0.000     .1439087    .3304444
                      209  |   .3802862   .0493871     7.70   0.000     .2832129    .4773595
                      210  |   .3413616   .0651806     5.24   0.000     .2132452    .4694781
                      211  |   .0788367   .0572845     1.38   0.169    -.0337596     .191433
                      212  |   .2473692   .0449563     5.50   0.000     .1590048    .3357336
                      213  |   .1252733    .048182     2.60   0.010     .0305686     .219978
                      214  |   .3029279   .0520113     5.82   0.000     .2006964    .4051594
                      215  |    .323303   .0624339     5.18   0.000     .2005853    .4460208
                      216  |   .3905947   .0607848     6.43   0.000     .2711186    .5100709
                      217  |   .2543369   .0446681     5.69   0.000      .166539    .3421349
                      218  |   .4008153   .0501049     8.00   0.000     .3023311    .4992995
                      219  |   .5457454   .0493594    11.06   0.000     .4487265    .6427643
                      220  |   .4310317   .0537328     8.02   0.000     .3254166    .5366468
                      221  |  -.0647366   .0455451    -1.42   0.156    -.1542583    .0247852
                      222  |   .3868455   .0533985     7.24   0.000     .2818875    .4918036
                      223  |   .4947386   .0538867     9.18   0.000     .3888209    .6006563
                      224  |   .4482233   .0577995     7.75   0.000     .3346148    .5618318
                      225  |   .0675964   .0496768     1.36   0.174    -.0300465    .1652393
                      226  |    .003904   .0439231     0.09   0.929    -.0824297    .0902376
                      227  |   .2527244   .0453631     5.57   0.000     .1635604    .3418884
                      228  |   .0422797   .0548324     0.77   0.441    -.0654969    .1500562
                      229  |  -.1976335   .0378241    -5.23   0.000    -.2719792   -.1232879
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                      231  |    .536849   .0509562    10.54   0.000     .4366914    .6370065
                      232  |   -.006253   .0445322    -0.14   0.888    -.0937837    .0812778
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                      235  |  -.1253343   .0412919    -3.04   0.003    -.2064961   -.0441726
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                      238  |   .1555442   .0450961     3.45   0.001     .0669051    .2441834
                      239  |  -.1359841   .0436004    -3.12   0.002    -.2216834   -.0502849
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                      241  |   .2424407   .0447309     5.42   0.000     .1545193    .3303622
                      242  |   .4167266   .0497707     8.37   0.000     .3188992     .514554
                      243  |   .2336277   .0404618     5.77   0.000     .1540975    .3131579
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                      246  |   .1755465   .0493127     3.56   0.000     .0786195    .2724736
                      247  |   .2252289   .0458947     4.91   0.000       .13502    .3154378
                      248  |   .0246764   .0462712     0.53   0.594    -.0662726    .1156253
                      249  |   .2102271   .0556418     3.78   0.000     .1008598    .3195944
                      250  |  -.1252844   .0569617    -2.20   0.028    -.2372462   -.0133226
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                      252  |   .2829051   .0472927     5.98   0.000     .1899485    .3758618
                      253  |   .2535624   .0515313     4.92   0.000     .1522745    .3548504
                      254  |   .2238802   .0521561     4.29   0.000     .1213642    .3263962
                      255  |     .24211   .0446092     5.43   0.000     .1544278    .3297921
                      256  |    .220874   .0522638     4.23   0.000     .1181464    .3236017
                      257  |   .1489351   .0486177     3.06   0.002     .0533741    .2444961
                      258  |   .0929638   .0499525     1.86   0.063    -.0052208    .1911485
                      259  |   .0661648   .0562577     1.18   0.240    -.0444132    .1767427
                      260  |   .3260428   .0458033     7.12   0.000     .2360135    .4160721
                      261  |   .2411758   .0714737     3.37   0.001     .1006899    .3816617
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                      263  |  -.1144104    .050382    -2.27   0.024    -.2134393   -.0153816
                      264  |   .1112725   .0485224     2.29   0.022     .0158986    .2066463
                      265  |  -.3124261   .0575761    -5.43   0.000    -.4255956   -.1992567
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                      267  |   .3130237   .0545071     5.74   0.000     .2058867    .4201608
                      268  |   .1781009   .0448998     3.97   0.000     .0898476    .2663541
                      269  |   .3666138   .0492111     7.45   0.000     .2698865    .4633412
                      270  |   .3217481   .0475908     6.76   0.000     .2282055    .4152908
                      271  |   .6785014   .0557829    12.16   0.000     .5688566    .7881462
                      272  |   .4723308   .0514768     9.18   0.000     .3711499    .5735117
                      273  |   .4579296    .042719    10.72   0.000     .3739628    .5418964
                      274  |   .4612045   .0492605     9.36   0.000       .36438    .5580291
                      275  |   .6884907   .0521405    13.20   0.000     .5860053    .7909761
                      276  |    .668671   .0518153    12.90   0.000     .5668249    .7705172
                      277  |   .5002454   .0537455     9.31   0.000     .3946053    .6058854
                      278  |    .346491   .0503984     6.88   0.000     .2474298    .4455522
                      279  |   .5793121   .0602289     9.62   0.000     .4609285    .6976957
                      280  |  -.0493942   .0421561    -1.17   0.242    -.1322546    .0334663
                      281  |   .3492486   .0478288     7.30   0.000     .2552382     .443259
                      282  |    .435613   .0498284     8.74   0.000     .3376722    .5335538
                      283  |   .1007212   .0693318     1.45   0.147    -.0355547    .2369971
                      284  |   .2979652   .0552892     5.39   0.000     .1892909    .4066395
                      285  |   .3599601   .0504764     7.13   0.000     .2607457    .4591745
                      286  |   .3220577   .0499099     6.45   0.000     .2239567    .4201587
                      287  |    .570598   .0593578     9.61   0.000     .4539265    .6872694
                      288  |   .2298173   .0461696     4.98   0.000      .139068    .3205665
                      289  |  -.0398563   .0725613    -0.55   0.583      -.18248    .1027674
                      290  |  -.0204972   .0707359    -0.29   0.772     -.159533    .1185385
                      291  |   .3877343   .0497998     7.79   0.000     .2898497    .4856189
                      292  |   .4086161   .0638889     6.40   0.000     .2830385    .5341937
                      293  |   .3202966   .0488756     6.55   0.000     .2242286    .4163647
                      294  |   .9325915   .0634968    14.69   0.000     .8077846    1.057398
                      295  |   .3160157   .0466839     6.77   0.000     .2242557    .4077757
                      296  |   .3829435   .0554582     6.91   0.000      .273937      .49195
                      297  |   .2978593   .0454641     6.55   0.000     .2084967    .3872218
                      298  |  -.1887079   .0323889    -5.83   0.000    -.2523702   -.1250455
                      299  |   .0893222   .0524009     1.70   0.089    -.0136751    .1923194
                      300  |   .3602743   .0466923     7.72   0.000     .2684977    .4520508
                      301  |   .5520783   .0556147     9.93   0.000     .4427643    .6613923
                      302  |   .5381367   .0473754    11.36   0.000     .4450175    .6312559
                      303  |   .4169579   .0560309     7.44   0.000     .3068258    .5270901
                      304  |   .3034234   .0509662     5.95   0.000     .2032462    .4036005
                      305  |   .3051773   .0471819     6.47   0.000     .2124384    .3979163
                      306  |   .3254825   .0603873     5.39   0.000     .2067876    .4441774
                      307  |   .2329897   .0569581     4.09   0.000     .1210351    .3449443
                      308  |   .2538363   .0441478     5.75   0.000     .1670611    .3406115
                      309  |   .2033606   .0493144     4.12   0.000     .1064301    .3002911
                      310  |   .3304139   .0503292     6.57   0.000     .2314889     .429339
                      311  |   .3036838    .057927     5.24   0.000     .1898246    .4175429
                      312  |   .3990367   .0539384     7.40   0.000     .2930175     .505056
                      313  |   .1878822   .0511068     3.68   0.000     .0874286    .2883357
                      314  |  -.0870367   .0419693    -2.07   0.039      -.16953   -.0045434
                      315  |   .1817977   .0502171     3.62   0.000     .0830929    .2805026
                      316  |   .3398453   .0635033     5.35   0.000     .2150256    .4646649
                      317  |    .374409   .0508829     7.36   0.000     .2743956    .4744224
                      318  |   .0507599   .0477066     1.06   0.288    -.0430103    .1445301
                      319  |   .4098509   .0531308     7.71   0.000     .3054191    .5142828
                      320  |   .3910231   .0429722     9.10   0.000     .3065585    .4754877
                      321  |  -.0167313   .0580806    -0.29   0.773    -.1308923    .0974297
                      322  |   .1815202   .0419663     4.33   0.000     .0990328    .2640075
                      323  |   .4161395   .0544584     7.64   0.000     .3090981    .5231809
                      324  |   .0880413   .0539414     1.63   0.103    -.0179839    .1940664
                      325  |   .4126938   .0675046     6.11   0.000     .2800094    .5453782
                      326  |    .184842   .0438231     4.22   0.000      .098705    .2709789
                      327  |   .1520613   .0461022     3.30   0.001     .0614446    .2426779
                      328  |   .0217218   .0455348     0.48   0.634    -.0677796    .1112231
                      329  |   .2960514   .0424693     6.97   0.000     .2125754    .3795274
                      330  |   .1687126   .0517191     3.26   0.001     .0670555    .2703697
                      331  |   .3704477   .0508039     7.29   0.000     .2705895    .4703059
                      332  |   .1037778   .0433334     2.39   0.017     .0186033    .1889523
                      333  |   .4656971   .0558912     8.33   0.000     .3558395    .5755548
                      334  |   .1341852   .0668633     2.01   0.045     .0027614     .265609
                      335  |   .1252353   .0644971     1.94   0.053    -.0015377    .2520082
                      336  |   .4117378   .0461611     8.92   0.000     .3210053    .5024702
                      337  |   .3425255   .0481107     7.12   0.000      .247961      .43709
                      338  |   .3020016   .0573485     5.27   0.000     .1892797    .4147236
                      339  |   .3161834   .0483322     6.54   0.000     .2211834    .4111833
                      340  |   .3893486   .0787916     4.94   0.000     .2344789    .5442183
                      341  |   .2783466   .0637817     4.36   0.000     .1529796    .4037135
                      342  |    .013944    .046634     0.30   0.765     -.077718     .105606
                      343  |   .6362706   .0545721    11.66   0.000     .5290057    .7435355
                      344  |   .0463811   .0611325     0.76   0.448    -.0737785    .1665408
                      345  |   .1112699   .0501323     2.22   0.027     .0127317    .2098081
                      346  |   .2326677    .053868     4.32   0.000     .1267868    .3385486
                      347  |   .2096181   .0481974     4.35   0.000     .1148831    .3043531
                      348  |   .4744389   .0546458     8.68   0.000     .3670292    .5818486
                      349  |   .0739407   .0507111     1.46   0.146     -.025735    .1736165
                      350  |     .36547   .0468651     7.80   0.000     .2733537    .4575862
                      351  |  -.2588093   .0627222    -4.13   0.000    -.3820937   -.1355249
                      352  |  -.1946798   .0503681    -3.87   0.000    -.2936813   -.0956782
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                      354  |   .4846064   .0722435     6.71   0.000     .3426073    .6266054
                      355  |   .4041706    .054982     7.35   0.000     .2961001    .5122412
                      356  |   .3214061    .055472     5.79   0.000     .2123725    .4304397
                      357  |   .0727191   .0443789     1.64   0.102    -.0145103    .1599486
                      358  |   .3147698    .068742     4.58   0.000     .1796531    .4498865
                      359  |   .1257557   .0537272     2.34   0.020     .0201516    .2313598
                      360  |   .1392254   .0446269     3.12   0.002     .0515085    .2269424
                      361  |   .2878396    .051888     5.55   0.000     .1858506    .3898286
                      362  |   .1237309   .0553259     2.24   0.026     .0149844    .2324774
                      363  |   .2050623   .0468041     4.38   0.000     .1130659    .2970586
                      364  |   .1817429   .0439718     4.13   0.000     .0953135    .2681723
                      365  |    .110929   .0429101     2.59   0.010     .0265866    .1952714
                      366  |   .2568333   .0494352     5.20   0.000     .1596654    .3540012
                      367  |   .2521914   .0541756     4.66   0.000     .1457061    .3586768
                      368  |   .1065671     .04032     2.64   0.009     .0273156    .1858186
                      369  |   .4785594   .0548613     8.72   0.000     .3707261    .5863926
                      370  |   .1221852   .0476304     2.57   0.011     .0285648    .2158056
                      371  |   .3843513   .0594503     6.47   0.000     .2674981    .5012044
                      372  |   .6483081   .0559955    11.58   0.000     .5382454    .7583708
                      373  |   .2457712    .058453     4.20   0.000     .1308782    .3606642
                      374  |   .1718591   .0532379     3.23   0.001     .0672167    .2765015
                      375  |   .1076834   .0442091     2.44   0.015     .0207878    .1945791
                      376  |   .2867965   .0540905     5.30   0.000     .1804783    .3931148
                      377  |   .3779804   .0428192     8.83   0.000     .2938166    .4621442
                      378  |   .1246592   .0374924     3.32   0.001     .0509655    .1983528
                      379  |   .4061028   .0537684     7.55   0.000     .3004177     .511788
                      380  |   .4427393   .0527048     8.40   0.000     .3391448    .5463339
                      381  |    .711228   .0554555    12.83   0.000     .6022268    .8202292
                      382  |    .417513   .0598261     6.98   0.000      .299921    .5351049
                      383  |   .0091042    .045687     0.20   0.842    -.0806965    .0989049
                      384  |   .7440333   .0759622     9.79   0.000      .594725    .8933416
                      385  |   .2240148   .0573784     3.90   0.000      .111234    .3367956
                      386  |   .1124999   .0413651     2.72   0.007     .0311943    .1938055
                      387  |   .2349355   .0465697     5.04   0.000     .1433999    .3264712
                      388  |   .3113718    .044678     6.97   0.000     .2235546    .3991891
                      389  |  -.1533221   .0442811    -3.46   0.001    -.2403594   -.0662848
                      390  |   .1414079   .0357206     3.96   0.000     .0711968    .2116189
                      391  |   .0915085   .0484341     1.89   0.060    -.0036918    .1867088
                      392  |   .3663417   .0487617     7.51   0.000     .2704975    .4621858
                      393  |   .1556252   .0579483     2.69   0.008     .0417243    .2695262
                      394  |   .4486337   .0550434     8.15   0.000     .3404426    .5568248
                      395  |   .5769452   .0484909    11.90   0.000     .4816333    .6722571
                      396  |   .3826099   .0566395     6.76   0.000     .2712815    .4939382
                      397  |   .5292226   .0403038    13.13   0.000      .450003    .6084423
                      398  |   .6361095   .0538914    11.80   0.000     .5301827    .7420363
                      399  |   .1285885   .0447136     2.88   0.004     .0407012    .2164757
                      400  |   .0465943   .0614755     0.76   0.449    -.0742396    .1674281
                      401  |   .2771409   .0398246     6.96   0.000     .1988632    .3554186
                      402  |   .5498904   .0422955    13.00   0.000     .4667559    .6330249
                      403  |  -.1774837   .0408036    -4.35   0.000    -.2576856   -.0972817
                      404  |   .2111036   .0426676     4.95   0.000     .1272379    .2949693
                      405  |   .5625318   .0669255     8.41   0.000     .4309857    .6940779
                      406  |   .4353179   .0465964     9.34   0.000     .3437298     .526906
                      407  |   .4907049   .0474503    10.34   0.000     .3974383    .5839715
                      408  |   .1983919   .0476381     4.16   0.000     .1047563    .2920276
                      409  |    .491902   .0487946    10.08   0.000     .3959932    .5878107
                      410  |   .4639408   .0587983     7.89   0.000      .348369    .5795126
                      411  |   .0802068   .0471079     1.70   0.089    -.0123866    .1728002
                      412  |   .2591589   .0580189     4.47   0.000     .1451191    .3731986
                      413  |  -.1228379   .0501668    -2.45   0.015    -.2214438    -.024232
                      414  |   .2178321   .0500464     4.35   0.000     .1194629    .3162012
                      415  |   .1965205   .0421319     4.66   0.000     .1137078    .2793332
                      416  |   .1605849   .0596736     2.69   0.007     .0432929     .277877
                      417  |   .4663398    .055901     8.34   0.000      .356463    .5762166
                      418  |   .3574927   .0527939     6.77   0.000      .253723    .4612623
                      419  |   .4889246   .0617527     7.92   0.000     .3675459    .6103034
                      420  |   .4660279   .0488276     9.54   0.000     .3700544    .5620015
                      421  |    .270316   .0578126     4.68   0.000     .1566818    .3839502
                      422  |   .3282389   .0499061     6.58   0.000     .2301455    .4263323
                      423  |   .3171551   .0529941     5.98   0.000     .2129921    .4213182
                      424  |   .0988464   .0494121     2.00   0.046     .0017239    .1959689
                      425  |   .2563279   .0552355     4.64   0.000     .1477592    .3648966
                      426  |   .1015872   .0457028     2.22   0.027     .0117556    .1914188
                           |
           wahlberechtigte |  -.0008096   .0001985    -4.08   0.000    -.0011997   -.0004194
                       pop |   .0004311   .0001542     2.80   0.005      .000128    .0007342
                  punter15 |   1.077421   .0797211    13.51   0.000     .9207242    1.234118
                   ueber65 |  -.3453969     .09218    -3.75   0.000    -.5265824   -.1642114
               sharefemale |   .2378415    .159912     1.49   0.138    -.0764753    .5521582
                foreigners |  -.0919627   .0791594    -1.16   0.246    -.2475554    .0636299
                   density |   .0003845   .0092197     0.04   0.967    -.0177374    .0185064
                  bip_real |  -.0003472   .0002159    -1.61   0.109    -.0007715    .0000772
                  parallel |   .7829277   .2827311     2.77   0.006     .2272024    1.338653
                     vscdu |  -4.192005   1.701447    -2.46   0.014    -7.536304   -.8477057
                     vsspd |   2.593473    1.83776     1.41   0.159    -1.018757    6.205703
                   vsgreen |   4.370933   2.011289     2.17   0.030     .4176211    8.324246
                     vsfdp |  -9.968148   2.810334    -3.55   0.000    -15.49203   -4.444263
      politicalcompetition |  -.4816087   .2584255    -1.86   0.063    -.9895598    .0263425
 number_voter_associations |    .379856   .1542125     2.46   0.014     .0767417    .6829702
                     _cons |    68.2168   8.877215     7.68   0.000     50.76809    85.66551
--------------------------------------------------------------------------------------------

. estadd local municipality "Yes" , replace 

added macro:
       e(municipality) : "Yes"

. estadd local election "No" , replace 

added macro:
           e(election) : "No"

. estadd local controls "Yes" , replace

added macro:
           e(controls) : "Yes"

. estadd local lmuniptrend "Yes" , replace

added macro:
        e(lmuniptrend) : "Yes"

. estadd local qmuniptrend "No" , replace

added macro:
        e(qmuniptrend) : "No"

. *IEF with municipality-specific quadratic trend 
. eststo M4: areg turnout index_n_w_5 c.jahr_since_1990 c.jahr_since_1990#c.jahr_since_1990 c.jahr_since_1990#i.gemeinde c.jahr_s
> ince_1990#c.jahr_since_1990#i.gemeinde $controls , cluster(gemeinde) absorb(gemeinde) 

Linear regression, absorbing indicators             Number of obs     =  2,556
Absorbed variable: gemeinde                         No. of categories =    426
                                                    F(16, 425)        =      .
                                                    Prob > F          =      .
                                                    R-squared         = 0.9644
                                                    Adj R-squared     = 0.9280
                                                    Root MSE          = 1.0945

                                                             (Std. err. adjusted for 426 clusters in gemeinde)
--------------------------------------------------------------------------------------------------------------
                                             |               Robust
                                     turnout | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
---------------------------------------------+----------------------------------------------------------------
                                 index_n_w_5 |  -1.039389   .1064892    -9.76   0.000      -1.2487   -.8300779
                             jahr_since_1990 |   .0206776   .7322699     0.03   0.977    -1.418644    1.459999
                                             |
         c.jahr_since_1990#c.jahr_since_1990 |   -.023705   .0292797    -0.81   0.419    -.0812559     .033846
                                             |
                  gemeinde#c.jahr_since_1990 |
                                          2  |   4.843244   2.095118     2.31   0.021     .7251609    8.961328
                                          3  |  -.4698124   .5936146    -0.79   0.429    -1.636598    .6969736
                                          4  |   -.010217   .6504176    -0.02   0.987    -1.288653    1.268219
                                          5  |   .5996736   .7152427     0.84   0.402    -.8061798    2.005527
                                          6  |   .6293046   .8048816     0.78   0.435    -.9527396    2.211349
                                          7  |   .3787065   .6975474     0.54   0.587    -.9923658    1.749779
                                          8  |   .7968531    .732466     1.09   0.277    -.6428539     2.23656
                                          9  |   .5358309   .7317795     0.73   0.464    -.9025267    1.974188
                                         10  |   1.346311   .7196183     1.87   0.062    -.0681426    2.760765
                                         11  |   .1679332   .7717886     0.22   0.828    -1.349065    1.684931
                                         12  |   .2867762   .7635579     0.38   0.707    -1.214044    1.787596
                                         13  |   .1347618   .7439902     0.18   0.856    -1.327597     1.59712
                                         14  |   .5104146    .711791     0.72   0.474    -.8886543    1.909484
                                         15  |   .4779416   .7457898     0.64   0.522    -.9879542    1.943837
                                         16  |   .0697631   .7263759     0.10   0.924    -1.357973      1.4975
                                         17  |    .523434   .6959349     0.75   0.452    -.8444689    1.891337
                                         18  |   .2675362   .7391559     0.36   0.718     -1.18532    1.720392
                                         19  |   .0436817   .7404855     0.06   0.953    -1.411788    1.499151
                                         20  |   .6567319   .7490764     0.88   0.381    -.8156238    2.129088
                                         21  |   .3313702   .7548057     0.44   0.661    -1.152247    1.814987
                                         22  |  -.3269908   .7199068    -0.45   0.650    -1.742012     1.08803
                                         23  |  -.1038732   .7333457    -0.14   0.887    -1.545309    1.337563
                                         24  |   1.787733   .7440892     2.40   0.017       .32518    3.250286
                                         25  |   .4217228   .7468382     0.56   0.573    -1.046233    1.889679
                                         26  |   1.139777   .7331155     1.55   0.121    -.3012064    2.580761
                                         27  |     .09521   .7689838     0.12   0.902    -1.416275    1.606695
                                         28  |   .6489557   .7136985     0.91   0.364    -.7538625    2.051774
                                         29  |   1.174893   .6897415     1.70   0.089    -.1808366    2.530622
                                         30  |   .6930444   .7528057     0.92   0.358    -.7866414     2.17273
                                         31  |   .8713695   .7216515     1.21   0.228    -.5470809     2.28982
                                         32  |   .9788602   .7784804     1.26   0.209    -.5512909    2.509011
                                         33  |  -.0317223   .7306873    -0.04   0.965    -1.467933    1.404488
                                         34  |   .6200211   .7645052     0.81   0.418    -.8826608    2.122703
                                         35  |   .9199513   .7486521     1.23   0.220    -.5515704    2.391473
                                         36  |    .375801   .7733783     0.49   0.627    -1.144322    1.895924
                                         37  |    .772706   .7418516     1.04   0.298    -.6854489    2.230861
                                         38  |   .8411681   .7290884     1.15   0.249    -.5918999    2.274236
                                         39  |   .5258071   .7077888     0.74   0.458    -.8653954     1.91701
                                         40  |   .5271338   .7709519     0.68   0.495    -.9882195    2.042487
                                         41  |   .3921008   .7610592     0.52   0.607    -1.103808    1.888009
                                         42  |   .5385363   .7108677     0.76   0.449    -.8587179    1.935791
                                         43  |   .4674608   .7074268     0.66   0.509    -.9230301    1.857952
                                         44  |   .5711702   .7427829     0.77   0.442    -.8888153    2.031156
                                         45  |   .5638155   .7431197     0.76   0.448     -.896832    2.024463
                                         46  |   .1536222   .7546354     0.20   0.839     -1.32966    1.636905
                                         47  |   .6688227   .7323804     0.91   0.362    -.7707159    2.108361
                                         48  |   .6327637   .7434455     0.85   0.395    -.8285242    2.094052
                                         49  |   .3516187   .7942685     0.44   0.658    -1.209565    1.912802
                                         50  |  -.0772572   .7311133    -0.11   0.916    -1.514305    1.359791
                                         51  |  -.1538981   .7589958    -0.20   0.839    -1.645751    1.337955
                                         52  |  -.0752408   .7453552    -0.10   0.920    -1.540282    1.389801
                                         53  |   .9435493   .7132868     1.32   0.187    -.4584597    2.345558
                                         54  |    .382191   .7570064     0.50   0.614    -1.105752    1.870134
                                         55  |  -.2580596   .7935068    -0.33   0.745    -1.817746    1.301627
                                         56  |   .0799461   .7064583     0.11   0.910    -1.308641    1.468533
                                         57  |   .4243243   .7284955     0.58   0.561    -1.007578    1.856227
                                         58  |   1.392979   .7232156     1.93   0.055    -.0285463    2.814503
                                         59  |   .2725249   .7602188     0.36   0.720    -1.221732    1.766782
                                         60  |   .3722412   .7800558     0.48   0.633    -1.161006    1.905489
                                         61  |    .224363   .6775517     0.33   0.741    -1.107406    1.556132
                                         62  |   .6735145   .7550045     0.89   0.373    -.8104933    2.157522
                                         63  |   .0504762    .768608     0.07   0.948     -1.46027    1.561222
                                         64  |   .8678163   .7169901     1.21   0.227    -.5414718    2.277104
                                         65  |    1.32803   .6953161     1.91   0.057    -.0386562    2.694717
                                         66  |    1.13908     .72505     1.57   0.117    -.2860507     2.56421
                                         67  |   .4755963   .7604573     0.63   0.532    -1.019129    1.970322
                                         68  |   1.507051   .7176394     2.10   0.036      .096487    2.917616
                                         69  |   .9113461   .7251967     1.26   0.210    -.5140725    2.336765
                                         70  |   1.359821   .7962708     1.71   0.088     -.205298    2.924941
                                         71  |   1.391551   .7158825     1.94   0.053    -.0155597    2.798662
                                         72  |   1.995002   .7217543     2.76   0.006     .5763493    3.413654
                                         73  |   1.974573   .7361154     2.68   0.008     .5276933    3.421454
                                         74  |   .9543283   .8690089     1.10   0.273    -.7537622    2.662419
                                         75  |   1.592734   .7381756     2.16   0.032     .1418041    3.043663
                                         76  |   1.904659   .7130857     2.67   0.008     .5030455    3.306273
                                         77  |  -.9495355   .7942367    -1.20   0.233    -2.510657    .6115857
                                         78  |   .3609824   .7921538     0.46   0.649    -1.196045    1.918009
                                         79  |   .9339622   .7134037     1.31   0.191    -.4682766    2.336201
                                         80  |   .2868294   .7730529     0.37   0.711    -1.232654    1.806312
                                         81  |    .756797   .7460605     1.01   0.311    -.7096309    2.223225
                                         82  |   1.387267   .7562822     1.83   0.067    -.0992519    2.873786
                                         83  |   1.632745   .7237697     2.26   0.025     .2101312    3.055359
                                         84  |   .7854531   .7341807     1.07   0.285    -.6576243     2.22853
                                         85  |    1.14532   .7557521     1.52   0.130    -.3401571    2.630797
                                         86  |   .7923635   .7068903     1.12   0.263    -.5970729      2.1818
                                         87  |   1.923412   .6806489     2.83   0.005     .5855549    3.261269
                                         88  |   .7808908   .7849797     0.99   0.320     -.762035    2.323817
                                         89  |   1.442526     .70201     2.05   0.041     .0626819     2.82237
                                         90  |   .6818834   .5258701     1.30   0.195    -.3517466    1.715513
                                         91  |   .7967308   .6891785     1.16   0.248    -.5578918    2.151353
                                         92  |   1.427057   .7062702     2.02   0.044      .038839    2.815274
                                         93  |   1.054362   .6928712     1.52   0.129     -.307519    2.416243
                                         94  |   1.126898   .7140496     1.58   0.115    -.2766102    2.530406
                                         95  |   1.404433   .6878773     2.04   0.042      .052368    2.756498
                                         96  |   .8332375   .7043326     1.18   0.237    -.5511715    2.217646
                                         97  |   .2047517   .8516132     0.24   0.810    -1.469146     1.87865
                                         98  |   .7870144   .7475751     1.05   0.293    -.6823904    2.256419
                                         99  |   .6742325   .6958702     0.97   0.333    -.6935432    2.042008
                                        100  |   1.534677   .7389289     2.08   0.038     .0822665    2.987087
                                        101  |  -.0225501   .8084204    -0.03   0.978     -1.61155     1.56645
                                        102  |   1.017704   .7266364     1.40   0.162    -.4105441    2.445953
                                        103  |   1.981225   .7119372     2.78   0.006     .5818684    3.380581
                                        104  |   .1667208   .7869426     0.21   0.832    -1.380063    1.713505
                                        105  |   .6715942   .7819433     0.86   0.391    -.8653635    2.208552
                                        106  |   1.318362   .6709244     1.96   0.050    -.0003814    2.637105
                                        107  |   1.527558   .7434304     2.05   0.041     .0662999    2.988816
                                        108  |   1.747731     .71677     2.44   0.015     .3388752    3.156586
                                        109  |   1.310879    .803459     1.63   0.104    -.2683687    2.890128
                                        110  |   .8495767   .6889731     1.23   0.218    -.5046422    2.203796
                                        111  |    1.29942   .8031451     1.62   0.106    -.2792106    2.878051
                                        112  |   1.120862    .707232     1.58   0.114     -.269246     2.51097
                                        113  |   1.191545   .7260954     1.64   0.102    -.2356397     2.61873
                                        114  |   1.373882   .7357097     1.87   0.063    -.0722007    2.819965
                                        115  |    1.74698   .7537125     2.32   0.021     .2655116    3.228448
                                        116  |   .9145079   .7636814     1.20   0.232    -.5865548    2.415571
                                        117  |   .8656502   .7166892     1.21   0.228    -.5430465    2.274347
                                        118  |   .9407747   .7697529     1.22   0.222     -.572222    2.453771
                                        119  |   .3985988   .7131854     0.56   0.577    -1.003211    1.800409
                                        120  |   .6462522   .7465738     0.87   0.387    -.8211845    2.113689
                                        121  |   .1492856   .7449063     0.20   0.841    -1.314873    1.613445
                                        122  |   1.142741    .748249     1.53   0.127    -.3279888     2.61347
                                        123  |  -.6053969   .7844606    -0.77   0.441    -2.147302    .9365086
                                        124  |  -.0521838   .7133128    -0.07   0.942    -1.454244    1.349876
                                        125  |   .9187096   .7752801     1.19   0.237    -.6051511     2.44257
                                        126  |  -.1806841    .831127    -0.22   0.828    -1.814315    1.452947
                                        127  |   .5239021   .7331562     0.71   0.475    -.9171614    1.964966
                                        128  |   .1014721   .7677466     0.13   0.895    -1.407581    1.610525
                                        129  |  -.2684728   .7322799    -0.37   0.714    -1.707814    1.170868
                                        130  |   .8756807   .7217586     1.21   0.226    -.5429801    2.294342
                                        131  |   .0214657   .7803238     0.03   0.978    -1.512309     1.55524
                                        132  |   .7126354   .6783487     1.05   0.294    -.6207007    2.045972
                                        133  |   1.601592   .7232423     2.21   0.027     .1800145    3.023169
                                        134  |   .3274801   .7161214     0.46   0.648      -1.0801    1.735061
                                        135  |   .7094374   .6998435     1.01   0.311    -.6661481    2.085023
                                        136  |   1.023211   .7104895     1.44   0.151    -.3732995    2.419722
                                        137  |   .4035749   .7193709     0.56   0.575    -1.010393    1.817543
                                        138  |   .8119914   .7151541     1.14   0.257    -.5936879    2.217671
                                        139  |   .4492205    .752348     0.60   0.551    -1.029566    1.928007
                                        140  |   1.210853   .7105621     1.70   0.089    -.1858003    2.607507
                                        141  |   .6188173   .6338902     0.98   0.330    -.6271327    1.864767
                                        142  |   .8138954   .7089515     1.15   0.252    -.5795924    2.207383
                                        143  |   .6114924   .7826512     0.78   0.435    -.9268566    2.149841
                                        144  |   .6526247   .7796469     0.84   0.403    -.8798191    2.185069
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                                        154  |   .3179933   .7545582     0.42   0.674    -1.165137    1.801124
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                                        270  |  -.0191806   .7614901    -0.03   0.980    -1.515936    1.477575
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                                        279  |  -.2724951    .733567    -0.37   0.710    -1.714366    1.169376
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                                        283  |   .0907824    .740148     0.12   0.902    -1.364024    1.545589
                                        284  |   .9925446   .7578216     1.31   0.191    -.4970003     2.48209
                                        285  |  -.0461044   .7524186    -0.06   0.951    -1.525029    1.432821
                                        286  |  -.6449656   .7439422    -0.87   0.386     -2.10723    .8172985
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                                        294  |   .6787361   .7484154     0.91   0.365    -.7923203    2.149793
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                                        299  |   -.451377     .70645    -0.64   0.523    -1.839948    .9371938
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                                        302  |   .5373977   .7247628     0.74   0.459    -.8871682    1.961964
                                        303  |  -.0889573   .8576574    -0.10   0.917    -1.774736    1.596821
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                                        308  |  -.1220516   .7500341    -0.16   0.871     -1.59629    1.352187
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                                        312  |  -.0228596   .7769678    -0.03   0.977    -1.550038    1.504318
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                                        314  |  -.7189539   .7453536    -0.96   0.335    -2.183992    .7460843
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                                        316  |   .5923467   .7702647     0.77   0.442    -.9216559    2.106349
                                        317  |   .4871223    .784992     0.62   0.535    -1.055828    2.030072
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                                        319  |   .9004414   .7212603     1.25   0.213    -.5172401    2.318123
                                        320  |   .2661758    .712827     0.37   0.709     -1.13493    1.667281
                                        321  |   1.037357    .710707     1.46   0.145    -.3595813    2.434295
                                        322  |  -.3556005     .74975    -0.47   0.636     -1.82928    1.118079
                                        323  |   1.360032   .7203548     1.89   0.060    -.0558694    2.775934
                                        324  |  -.3648493   .7670372    -0.48   0.635    -1.872508    1.142809
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                                        326  |  -.0961013   .7396148    -0.13   0.897     -1.54986    1.357657
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                                        328  |   .5400219   .7185286     0.75   0.453    -.8722902    1.952334
                                        329  |  -.7144444   .7470269    -0.96   0.339    -2.182772     .753883
                                        330  |  -.0913896   .7336643    -0.12   0.901    -1.533452    1.350673
                                        331  |   1.082775   .7055728     1.53   0.126    -.3040715    2.469622
                                        332  |   .3511219    .741934     0.47   0.636    -1.107195    1.809439
                                        333  |  -.6213208   .7624622    -0.81   0.416    -2.119987    .8773456
                                        334  |   .5049838   .6900043     0.73   0.465    -.8512619     1.86123
                                        335  |   .3060684   .7905186     0.39   0.699    -1.247744    1.859881
                                        336  |   .3156896   .7389034     0.43   0.669     -1.13667     1.76805
                                        337  |  -.2215134   .7332577    -0.30   0.763    -1.662776     1.21975
                                        338  |   1.747588   .7458489     2.34   0.020     .2815759      3.2136
                                        339  |   .5746634   .7029561     0.82   0.414      -.80704    1.956367
                                        340  |   .4867132   .7394596     0.66   0.511    -.9667401    1.940167
                                        341  |   .1809358   .6825793     0.27   0.791    -1.160716    1.522587
                                        342  |   .1131797   .7448924     0.15   0.879    -1.350952    1.577312
                                        343  |   .5657815   .7437325     0.76   0.447    -.8960705    2.027633
                                        344  |  -.3928947   .7418808    -0.53   0.597    -1.851107    1.065318
                                        345  |  -.0243172   .7449967    -0.03   0.974    -1.488654     1.44002
                                        346  |    .671485   .7394173     0.91   0.364    -.7818852    2.124855
                                        347  |    .209517   .7970769     0.26   0.793    -1.357187    1.776221
                                        348  |   .1034018   .7687908     0.13   0.893    -1.407704    1.614507
                                        349  |   .4405172   .7324505     0.60   0.548    -.9991593    1.880194
                                        350  |   .4509738    .730793     0.62   0.537    -.9854448    1.887392
                                        351  |  -.9009426   .7450016    -1.21   0.227    -2.365289    .5634038
                                        352  |  -.8823765   .7440562    -1.19   0.236    -2.344865    .5801116
                                        353  |    .614191   .7166788     0.86   0.392    -.7944853    2.022867
                                        354  |   .5465368   .7181566     0.76   0.447    -.8650441    1.958118
                                        355  |   .2787661   .7247348     0.38   0.701    -1.145745    1.703277
                                        356  |   .0570741   .7590109     0.08   0.940    -1.434809    1.548957
                                        357  |    .249807   .6980521     0.36   0.721    -1.122257    1.621871
                                        358  |   .6759728   .7118415     0.95   0.343    -.7231953    2.075141
                                        359  |   .8488125   .6843397     1.24   0.216    -.4962992    2.193924
                                        360  |   .5397983   .7525123     0.72   0.474    -.9393109    2.018908
                                        361  |  -.4217414   .7214148    -0.58   0.559    -1.839726    .9962436
                                        362  |   .1063276   .7306866     0.15   0.884    -1.329882    1.542537
                                        363  |  -.0187146   .7458142    -0.03   0.980    -1.484658    1.447229
                                        364  |    -.03577   .7038545    -0.05   0.959    -1.419239    1.347699
                                        365  |  -.2331994   .7336835    -0.32   0.751    -1.675299    1.208901
                                        366  |  -.2866331   .7367496    -0.39   0.697     -1.73476    1.161494
                                        367  |  -.7420153   .7429874    -1.00   0.319    -2.202403     .718372
                                        368  |  -.4341144   .7672667    -0.57   0.572    -1.942224    1.073995
                                        369  |   .0397979   .7329986     0.05   0.957    -1.400956    1.480552
                                        370  |   .1936148   .7373555     0.26   0.793    -1.255703    1.642932
                                        371  |   .4392848   .7271906     0.60   0.546     -.990053    1.868623
                                        372  |    .134389   .7231224     0.19   0.853    -1.286953    1.555731
                                        373  |   .3247017    .733034     0.44   0.658    -1.116122    1.765525
                                        374  |  -.8499208   .7738889    -1.10   0.273    -2.371047    .6712055
                                        375  |  -.3921736   .7537241    -0.52   0.603    -1.873665    1.089317
                                        376  |   .0246185   .7453811     0.03   0.974    -1.440474    1.489711
                                        377  |  -.1565416   .7212237    -0.22   0.828    -1.574151    1.261068
                                        378  |   .1156842    .725616     0.16   0.873    -1.310559    1.541927
                                        379  |   .1255884   .7570975     0.17   0.868    -1.362533     1.61371
                                        380  |   .5697857   .7066697     0.81   0.421    -.8192169    1.958788
                                        381  |   .4040169   .7335733     0.55   0.582    -1.037866      1.8459
                                        382  |  -.3882925   .7041259    -0.55   0.582    -1.772295    .9957102
                                        383  |  -.8964926   .7863712    -1.14   0.255    -2.442154    .6491683
                                        384  |    .326994   .7089682     0.46   0.645    -1.066526    1.720515
                                        385  |  -.0328719   .7322234    -0.04   0.964    -1.472102    1.406358
                                        386  |  -.6315686   .7517308    -0.84   0.401    -2.109142    .8460044
                                        387  |   .3975426   .7423563     0.54   0.593    -1.061604    1.856689
                                        388  |  -.5946784   .7123965    -0.83   0.404    -1.994937    .8055807
                                        389  |   .0189922   .7423885     0.03   0.980    -1.440218    1.478202
                                        390  |   .3274113   .7789358     0.42   0.674    -1.203635    1.858458
                                        391  |  -.3623935   .7499372    -0.48   0.629    -1.836441    1.111654
                                        392  |   .7521046   .7233669     1.04   0.299    -.6697175    2.173927
                                        393  |   1.061685   .7388637     1.44   0.151    -.3905974    2.513967
                                        394  |  -.0975876   .7246511    -0.13   0.893    -1.521934    1.326759
                                        395  |    .950641   .7354487     1.29   0.197    -.4949286    2.396211
                                        396  |  -.1936562   .7140717    -0.27   0.786    -1.597208    1.209896
                                        397  |   .9386447   .7399377     1.27   0.205    -.5157483    2.393038
                                        398  |   .4865444   .7318185     0.66   0.507    -.9518899    1.924979
                                        399  |   .1894274   .7514305     0.25   0.801    -1.287555     1.66641
                                        400  |  -.3105369   .7322939    -0.42   0.672    -1.749905    1.128832
                                        401  |    .356778   .6975863     0.51   0.609    -1.014371    1.727927
                                        402  |  -.3948401   .7504062    -0.53   0.599     -1.86981    1.080129
                                        403  |   -.186098   .7634903    -0.24   0.808    -1.686785    1.314589
                                        404  |   .4496045   .7318591     0.61   0.539    -.9889097    1.888119
                                        405  |   1.002429   .7310949     1.37   0.171    -.4345832    2.439441
                                        406  |   .0833147   .7199532     0.12   0.908    -1.331798    1.498427
                                        407  |   .5769504   .7105511     0.81   0.417    -.8196815    1.973582
                                        408  |   .6362408   .7615054     0.84   0.404    -.8605448    2.133026
                                        409  |   .0069915   .7493452     0.01   0.993    -1.465892    1.479876
                                        410  |   .7290075   .7046835     1.03   0.301    -.6560913    2.114106
                                        411  |  -.6768738   .7152906    -0.95   0.345    -2.082821    .7290738
                                        412  |  -.1136719   .7237912    -0.16   0.875    -1.536328    1.308984
                                        413  |  -.4484697   .6588649    -0.68   0.496    -1.743509    .8465698
                                        414  |   .5275021   .7075406     0.75   0.456    -.8632125    1.918217
                                        415  |  -.3613208   .7169599    -0.50   0.615     -1.77055    1.047908
                                        416  |   .2565532   .7004033     0.37   0.714    -1.120133    1.633239
                                        417  |  -.1129964   .7389672    -0.15   0.879    -1.565482    1.339489
                                        418  |    .368608   .7504025     0.49   0.624    -1.106354     1.84357
                                        419  |  -.0261573   .7256042    -0.04   0.971    -1.452377    1.400062
                                        420  |  -.0924423   .7303535    -0.13   0.899    -1.527997    1.343112
                                        421  |   .4262378   .7181657     0.59   0.553     -.985361    1.837837
                                        422  |  -.0441644   .7372637    -0.06   0.952    -1.493302    1.404973
                                        423  |  -.6337912   .7312518    -0.87   0.387    -2.071112    .8035291
                                        424  |  -.5152573   .7517067    -0.69   0.493    -1.992783    .9622684
                                        425  |  -.6634736   .7355452    -0.90   0.368    -2.109233    .7822858
                                        426  |  -.3982545   .6816511    -0.58   0.559    -1.738082    .9415726
                                             |
gemeinde#c.jahr_since_1990#c.jahr_since_1990 |
                                          2  |  -.1736743   .0910704    -1.91   0.057    -.3526787    .0053301
                                          3  |   .0037023   .0241245     0.15   0.878    -.0437158    .0511204
                                          4  |   .0027147   .0245412     0.11   0.912    -.0455226     .050952
                                          5  |  -.0057866   .0285347    -0.20   0.839    -.0618734    .0503001
                                          6  |  -.0066858   .0308107    -0.22   0.828     -.067246    .0538745
                                          7  |   .0000704    .028486     0.00   0.998    -.0559206    .0560613
                                          8  |    -.01447   .0292763    -0.49   0.621    -.0720143    .0430743
                                          9  |  -.0071926   .0289579    -0.25   0.804    -.0641111     .049726
                                         10  |  -.0292501   .0286119    -1.02   0.307    -.0854886    .0269884
                                         11  |    .008499   .0304747     0.28   0.780     -.051401    .0683989
                                         12  |  -.0044319    .030017    -0.15   0.883    -.0634322    .0545684
                                         13  |   .0075764   .0295554     0.26   0.798    -.0505164    .0656693
                                         14  |  -.0018278   .0285053    -0.06   0.949    -.0578567    .0542011
                                         15  |  -.0008072   .0300981    -0.03   0.979    -.0599668    .0583525
                                         16  |  -.0031822   .0291071    -0.11   0.913    -.0603939    .0540296
                                         17  |  -.0072894   .0281665    -0.26   0.796    -.0626524    .0480736
                                         18  |   .0076499   .0296202     0.26   0.796    -.0505703    .0658702
                                         19  |   .0129164   .0295957     0.44   0.663    -.0452558    .0710885
                                         20  |  -.0066874   .0291897    -0.23   0.819    -.0640615    .0506866
                                         21  |   .0100312   .0300864     0.33   0.739    -.0491055     .069168
                                         22  |   .0151648   .0287758     0.53   0.598    -.0413959    .0717254
                                         23  |   .0167739   .0288867     0.58   0.562    -.0400047    .0735526
                                         24  |  -.0539465   .0288147    -1.87   0.062    -.1105836    .0026906
                                         25  |    -.00491   .0303999    -0.16   0.872    -.0646629    .0548429
                                         26  |  -.0129443   .0286001    -0.45   0.651    -.0691596     .043271
                                         27  |    .016593   .0299985     0.55   0.580    -.0423709     .075557
                                         28  |  -.0095525   .0289588    -0.33   0.742    -.0664728    .0473677
                                         29  |  -.0173899   .0277846    -0.63   0.532    -.0720022    .0372223
                                         30  |  -.0134659   .0293284    -0.46   0.646    -.0711128    .0441809
                                         31  |  -.0069229   .0287886    -0.24   0.810    -.0635087    .0496629
                                         32  |  -.0176565   .0305409    -0.58   0.563    -.0776865    .0423735
                                         33  |   .0263846   .0298664     0.88   0.378    -.0323197    .0850889
                                         34  |  -.0042823   .0290167    -0.15   0.883    -.0613165    .0527518
                                         35  |  -.0310045   .0299415    -1.04   0.301    -.0898563    .0278473
                                         36  |   .0077444     .03086     0.25   0.802    -.0529128    .0684017
                                         37  |  -.0083523   .0292736    -0.29   0.776    -.0658914    .0491867
                                         38  |  -.0071429   .0293931    -0.24   0.808    -.0649169     .050631
                                         39  |  -.0030947   .0284532    -0.11   0.913    -.0590212    .0528318
                                         40  |   .0028108   .0303333     0.09   0.926    -.0568111    .0624327
                                         41  |   .0037593   .0298164     0.13   0.900    -.0548468    .0623653
                                         42  |  -.0038301   .0286299    -0.13   0.894    -.0601039    .0524438
                                         43  |  -.0003562   .0285292    -0.01   0.990    -.0564322    .0557197
                                         44  |  -.0089767   .0298117    -0.30   0.763    -.0675735    .0496201
                                         45  |  -.0016718   .0297901    -0.06   0.955    -.0602261    .0568825
                                         46  |   .0108147   .0298549     0.36   0.717    -.0478669    .0694964
                                         47  |  -.0060294   .0289769    -0.21   0.835    -.0629854    .0509265
                                         48  |  -.0046243   .0298383    -0.15   0.877    -.0632733    .0540247
                                         49  |   .0011235   .0306239     0.04   0.971    -.0590697    .0613167
                                         50  |   .0123841   .0293121     0.42   0.673    -.0452306    .0699988
                                         51  |   .0030668   .0302401     0.10   0.919    -.0563719    .0625055
                                         52  |   .0168853    .029208     0.58   0.563    -.0405248    .0742954
                                         53  |  -.0199705   .0283961    -0.70   0.482    -.0757847    .0358438
                                         54  |  -.0111881   .0298633    -0.37   0.708    -.0698862      .04751
                                         55  |   .0185144   .0311026     0.60   0.552    -.0426196    .0796485
                                         56  |   .0013226   .0285457     0.05   0.963    -.0547857     .057431
                                         57  |  -.0058671   .0289614    -0.20   0.840    -.0627925    .0510584
                                         58  |  -.0392254   .0287745    -1.36   0.174    -.0957835    .0173327
                                         59  |  -.0144283    .029554    -0.49   0.626    -.0725185     .043662
                                         60  |  -.0025063   .0298341    -0.08   0.933     -.061147    .0561343
                                         61  |  -.0104816   .0269301    -0.39   0.697    -.0634144    .0424512
                                         62  |  -.0115402   .0298525    -0.39   0.699    -.0702171    .0471368
                                         63  |   .0139015   .0298991     0.46   0.642     -.044867    .0726701
                                         64  |  -.0188365   .0295443    -0.64   0.524    -.0769076    .0392346
                                         65  |  -.0240353   .0277391    -0.87   0.387    -.0785581    .0304876
                                         66  |  -.0198751   .0288883    -0.69   0.492     -.076657    .0369067
                                         67  |  -.0061632   .0302427    -0.20   0.839     -.065607    .0532807
                                         68  |   -.036645   .0283586    -1.29   0.197    -.0923855    .0190954
                                         69  |  -.0196602   .0290816    -0.68   0.499    -.0768219    .0375014
                                         70  |  -.0229831   .0310833    -0.74   0.460    -.0840793     .038113
                                         71  |  -.0337156    .027724    -1.22   0.225    -.0882088    .0207776
                                         72  |  -.0505961   .0288696    -1.75   0.080     -.107341    .0061489
                                         73  |  -.0615705   .0292497    -2.10   0.036    -.1190626   -.0040784
                                         74  |   -.015034   .0336842    -0.45   0.656    -.0812425    .0511744
                                         75  |  -.0337934    .029006    -1.17   0.245    -.0908064    .0232197
                                         76  |  -.0461876   .0287119    -1.61   0.108    -.1026226    .0102474
                                         77  |   .0358182    .031071     1.15   0.250    -.0252537    .0968901
                                         78  |  -.0019487   .0311369    -0.06   0.950    -.0631502    .0592527
                                         79  |  -.0111011     .02855    -0.39   0.698    -.0672179    .0450158
                                         80  |   .0063695   .0310614     0.21   0.838    -.0546836    .0674226
                                         81  |  -.0158869   .0299816    -0.53   0.596    -.0748177    .0430438
                                         82  |  -.0338825   .0298905    -1.13   0.258    -.0926342    .0248692
                                         83  |  -.0475671   .0287692    -1.65   0.099    -.1041147    .0089805
                                         84  |  -.0129083   .0291846    -0.44   0.658    -.0702724    .0444558
                                         85  |  -.0244184   .0301513    -0.81   0.418    -.0836827    .0348459
                                         86  |   -.010737   .0282562    -0.38   0.704    -.0662762    .0448023
                                         87  |  -.0447388   .0274548    -1.63   0.104    -.0987029    .0092253
                                         88  |  -.0147003   .0309558    -0.47   0.635    -.0755459    .0461454
                                         89  |  -.0312873   .0282559    -1.11   0.269     -.086826    .0242513
                                         90  |  -.0215665   .0220995    -0.98   0.330    -.0650044    .0218713
                                         91  |  -.0069922   .0279077    -0.25   0.802    -.0618465    .0478621
                                         92  |  -.0226459   .0282719    -0.80   0.424    -.0782161    .0329242
                                         93  |  -.0180687   .0274407    -0.66   0.511    -.0720051    .0358678
                                         94  |  -.0192078   .0287649    -0.67   0.505     -.075747    .0373314
                                         95  |  -.0423611   .0280744    -1.51   0.132    -.0975432    .0128209
                                         96  |  -.0107351   .0284499    -0.38   0.706     -.066655    .0451849
                                         97  |   .0116601   .0328029     0.36   0.722     -.052816    .0761362
                                         98  |  -.0139729   .0302847    -0.46   0.645    -.0734994    .0455535
                                         99  |  -.0046676   .0279346    -0.17   0.867    -.0595748    .0502396
                                        100  |  -.0346082   .0292112    -1.18   0.237    -.0920247    .0228083
                                        101  |    .008638    .032382     0.27   0.790    -.0550108    .0722869
                                        102  |  -.0169747   .0285345    -0.59   0.552    -.0730609    .0391116
                                        103  |   -.055077    .029074    -1.89   0.059    -.1122238    .0020698
                                        104  |   .0030148   .0314827     0.10   0.924    -.0588664    .0648961
                                        105  |  -.0103256   .0306794    -0.34   0.737    -.0706277    .0499766
                                        106  |   -.027177   .0266893    -1.02   0.309    -.0796363    .0252824
                                        107  |  -.0380516   .0297672    -1.28   0.202    -.0965608    .0204576
                                        108  |  -.0379026     .02847    -1.33   0.184    -.0938621    .0180569
                                        109  |  -.0322513   .0308337    -1.05   0.296    -.0928568    .0283542
                                        110  |  -.0198693   .0272108    -0.73   0.466    -.0733538    .0336151
                                        111  |  -.0317285   .0308464    -1.03   0.304     -.092359    .0289019
                                        112  |  -.0254221   .0278749    -0.91   0.362    -.0802119    .0293678
                                        113  |  -.0260379   .0283106    -0.92   0.358    -.0816842    .0296083
                                        114  |  -.0340199   .0286755    -1.19   0.236    -.0903833    .0223435
                                        115  |  -.0346427    .028801    -1.20   0.230    -.0912528    .0219674
                                        116  |  -.0207938   .0307948    -0.68   0.500    -.0813229    .0397353
                                        117  |  -.0139919   .0290724    -0.48   0.631    -.0711355    .0431517
                                        118  |  -.0239785   .0298921    -0.80   0.423    -.0827332    .0347761
                                        119  |  -.0034896   .0290118    -0.12   0.904    -.0605141    .0535349
                                        120  |  -.0115011   .0297931    -0.39   0.700    -.0700613    .0470591
                                        121  |   .0055221   .0299671     0.18   0.854      -.05338    .0644243
                                        122  |  -.0269964   .0298066    -0.91   0.366    -.0855832    .0315904
                                        123  |   .0250082   .0308749     0.81   0.418    -.0356784    .0856947
                                        124  |    .026134   .0290076     0.90   0.368    -.0308823    .0831502
                                        125  |   .0009999   .0311561     0.03   0.974    -.0602393     .062239
                                        126  |   .0163898   .0327633     0.50   0.617    -.0480086    .0807881
                                        127  |  -.0076379   .0295991    -0.26   0.796    -.0658167    .0505409
                                        128  |   .0082728   .0309593     0.27   0.789    -.0525796    .0691251
                                        129  |   .0404373   .0293626     1.38   0.169    -.0172768    .0981513
                                        130  |  -.0198371   .0294393    -0.67   0.501    -.0777019    .0380276
                                        131  |   .0066857   .0302898     0.22   0.825    -.0528507     .066222
                                        132  |  -.0105909   .0276706    -0.38   0.702    -.0649791    .0437973
                                        133  |  -.0408929   .0291058    -1.40   0.161     -.098102    .0163163
                                        134  |   -.002592   .0287146    -0.09   0.928    -.0590322    .0538482
                                        135  |  -.0154208   .0279953    -0.55   0.582    -.0704473    .0396057
                                        136  |  -.0255496   .0286759    -0.89   0.373    -.0819138    .0308145
                                        137  |  -.0062747   .0287497    -0.22   0.827    -.0627841    .0502347
                                        138  |  -.0244595   .0283004    -0.86   0.388    -.0800856    .0311666
                                        139  |   .0012759   .0299104     0.04   0.966    -.0575149    .0600667
                                        140  |  -.0309725    .028327    -1.09   0.275     -.086651    .0247061
                                        141  |  -.0193859   .0262188    -0.74   0.460    -.0709205    .0321488
                                        142  |  -.0271311   .0282342    -0.96   0.337    -.0826271    .0283648
                                        143  |  -.0082537   .0304956    -0.27   0.787    -.0681947    .0516873
                                        144  |  -.0079905   .0305322    -0.26   0.794    -.0680036    .0520225
                                        145  |  -.0019766   .0276728    -0.07   0.943    -.0563691    .0524159
                                        146  |  -.0081169   .0297683    -0.27   0.785    -.0666283    .0503945
                                        147  |    .001495   .0296444     0.05   0.960    -.0567728    .0597628
                                        148  |   .0113051   .0275978     0.41   0.682    -.0429401    .0655503
                                        149  |  -.0059441   .0293028    -0.20   0.839    -.0635405    .0516524
                                        150  |   .0034781   .0302394     0.12   0.908    -.0559594    .0629156
                                        151  |    .010201   .0293439     0.35   0.728    -.0474763    .0678783
                                        152  |   .0179916   .0295954     0.61   0.544    -.0401799    .0761631
                                        153  |  -.0150059   .0288379    -0.52   0.603    -.0716885    .0416768
                                        154  |   -.000331    .029809    -0.01   0.991    -.0589223    .0582604
                                        155  |   .0087494   .0292434     0.30   0.765    -.0487304    .0662291
                                        156  |  -.0045105   .0306452    -0.15   0.883    -.0647456    .0557246
                                        157  |   .0089855   .0287004     0.31   0.754    -.0474269    .0653979
                                        158  |  -.0165873   .0296656    -0.56   0.576    -.0748969    .0417222
                                        159  |   .0014517   .0293586     0.05   0.961    -.0562545    .0591579
                                        160  |   .0062808   .0310722     0.20   0.840    -.0547935    .0673551
                                        161  |  -.0065647   .0287689    -0.23   0.820    -.0631117    .0499823
                                        162  |    .007948   .0285987     0.28   0.781    -.0482645    .0641604
                                        163  |  -.0099269   .0300395    -0.33   0.741    -.0689714    .0491176
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                                        392  |  -.0135083   .0294297    -0.46   0.646    -.0713542    .0443377
                                        393  |  -.0325719   .0295312    -1.10   0.271    -.0906174    .0254735
                                        394  |   .0171876   .0292087     0.59   0.557    -.0402239    .0745991
                                        395  |  -.0142688   .0298206    -0.48   0.633     -.072883    .0443453
                                        396  |    .020919    .029041     0.72   0.472    -.0361629    .0780009
                                        397  |  -.0136378   .0299628    -0.46   0.649    -.0725314    .0452559
                                        398  |   .0047414   .0296596     0.16   0.873    -.0535563    .0630392
                                        399  |  -.0031584   .0301833    -0.10   0.917    -.0624854    .0561687
                                        400  |   .0125066   .0288457     0.43   0.665    -.0441914    .0692047
                                        401  |  -.0025122   .0284553    -0.09   0.930    -.0584428    .0534184
                                        402  |   .0350539   .0302376     1.16   0.247    -.0243801    .0944878
                                        403  |   .0024604   .0310945     0.08   0.937    -.0586577    .0635785
                                        404  |  -.0071726   .0296813    -0.24   0.809     -.065513    .0511678
                                        405  |  -.0141073   .0294094    -0.48   0.632    -.0719133    .0436987
                                        406  |   .0161702   .0292976     0.55   0.581    -.0414161    .0737565
                                        407  |  -.0019736   .0289187    -0.07   0.946     -.058815    .0548678
                                        408  |  -.0103794   .0305414    -0.34   0.734    -.0704104    .0496517
                                        409  |   .0181518   .0306286     0.59   0.554    -.0420506    .0783542
                                        410  |  -.0025893   .0287525    -0.09   0.928     -.059104    .0539254
                                        411  |   .0292355   .0295183     0.99   0.323    -.0287845    .0872555
                                        412  |   .0128815   .0292136     0.44   0.659    -.0445395    .0703026
                                        413  |   .0136932   .0282289     0.49   0.628    -.0417925    .0691788
                                        414  |  -.0146516   .0288967    -0.51   0.612    -.0714498    .0421466
                                        415  |    .023298   .0291354     0.80   0.424    -.0339695    .0805655
                                        416  |  -.0061393   .0287356    -0.21   0.831    -.0626209    .0503423
                                        417  |   .0199507   .0298254     0.67   0.504    -.0386729    .0785744
                                        418  |   .0014081   .0300359     0.05   0.963    -.0576293    .0604456
                                        419  |   .0162812   .0291651     0.56   0.577    -.0410445     .073607
                                        420  |   .0177216   .0294334     0.60   0.547    -.0401316    .0755747
                                        421  |  -.0025468   .0295861    -0.09   0.931    -.0607001    .0556064
                                        422  |   .0159324   .0302791     0.53   0.599     -.043583    .0754477
                                        423  |   .0368373   .0297654     1.24   0.217    -.0216684     .095343
                                        424  |   .0236021   .0302252     0.78   0.435    -.0358073    .0830115
                                        425  |   .0326594   .0294399     1.11   0.268    -.0252066    .0905253
                                        426  |   .0187292   .0283808     0.66   0.510     -.037055    .0745134
                                             |
                             wahlberechtigte |  -.0004317   .0005073    -0.85   0.395    -.0014288    .0005654
                                         pop |   .0006756   .0003851     1.75   0.080    -.0000814    .0014326
                                    punter15 |   .5672877   .1777249     3.19   0.002     .2179585    .9166168
                                     ueber65 |  -.3832612   .1444494    -2.65   0.008    -.6671854   -.0993371
                                 sharefemale |   .4095098   .2279534     1.80   0.073    -.0385467    .8575663
                                  foreigners |   .2494155   .1134421     2.20   0.028      .026438     .472393
                                     density |  -.0336007   .0101664    -3.31   0.001    -.0535833   -.0136181
                                    bip_real |  -.0015978   .0002407    -6.64   0.000    -.0020709   -.0011248
                                    parallel |   1.111753   .3829441     2.90   0.004     .3590529    1.864453
                                       vscdu |  -12.71919    3.42382    -3.71   0.000    -19.44892   -5.989465
                                       vsspd |  -1.675661   3.051322    -0.55   0.583    -7.673222    4.321901
                                     vsgreen |   10.03336   2.740378     3.66   0.000     4.646981    15.41974
                                       vsfdp |  -18.50228   5.687321    -3.25   0.001    -29.68106   -7.323496
                        politicalcompetition |  -.4348539   .4349565    -1.00   0.318    -1.289788    .4200798
                   number_voter_associations |   .1544815   .2139488     0.72   0.471     -.266048     .575011
                                       _cons |   78.18635   13.32957     5.87   0.000     51.98626    104.3864
--------------------------------------------------------------------------------------------------------------

. estadd local municipality "Yes" , replace 

added macro:
       e(municipality) : "Yes"

. estadd local election "No" , replace 

added macro:
           e(election) : "No"

. estadd local controls "Yes" , replace

added macro:
           e(controls) : "Yes"

. estadd local lmuniptrend "Yes" , replace

added macro:
        e(lmuniptrend) : "Yes"

. estadd local qmuniptrend "Yes" , replace

added macro:
        e(qmuniptrend) : "Yes"

.  
. esttab M1 M2 M3 M4  using A_Table_12.tex, one incelldelimite("\:")  stats(municipality election controls lmuniptrend qmuniptren
> d ///
>  N r2, labels("Municipality FE" "Election FE" "Controls" "Municipality-specific linear trend" "Municipality-specific quadratic 
> trend" "N" "R2") fmt(0 0 2) layout("\multicolumn{1}{c}{@}" ///
> "\multicolumn{1}{c}{@}"  "\multicolumn{1}{c}{@}" "\multicolumn{1}{c}{@}"  "\multicolumn{1}{c}{@}"  "\multicolumn{1}{c}{$@$}" "\
> multicolumn{1}{c}{$@$}")) ///
>                 replace b(2) se(2) wide staraux ///
>                 star(+ 0.1 * 0.05 ** 0.01 *** 0.001) eqlabels(none)  keep(time_function index_n_w_5  jahr_since_1990 c.jahr_sin
> ce_1990#c.jahr_since_1990 _cons) order(time_function index_n_w_5 jahr c.jahr#c.jahr) ///
>                 varlabels(time_function "Days (IEF  function)" index_n_w_5 "IEF"  jahr_since_1990 "Years (since 1990)" c.jahr_s
> ince_1990#c.jahr_since_1990 "Years (since 1990)^2" _cons "Constant") ///
>                 nolegend note("") mtitles("\shortstack{\\Time function\\no controls}" "\shortstack{\\Time function\\controls}" 
> "\shortstack{\\IEF\\linear trend}" "\shortstack{\\IEF\\quadratic trend}") alignment(d{10})
(output written to A_Table_12.tex)

.         
. *-----------------------------*
. *       Table A 10
. *-----------------------------*
. 
. *Descriptive statistics (Table)
. lab var days "Days"

. lab var days1_100 "Dummy: Days 1 \textendash 100"

. lab var time_function "Days (IEF  function)"

. lab var index_n_w_5 "IEF"

. lab var jahr_since_1990 "Years (since 1990)" 

. lab var wahlberechtigte "Registered voters"

. lab var pop "Population size"

. lab var punter15 "Proportion of youth (0-15)" 

. lab var ueber65 "Proportion of elderly (+65)"

. lab var sharefemale "Proportion of females" 

. lab var foreigners "Proportion of foreigners" 

. lab var density "Population density"

. lab var bip_real "Real GDP per capita"

. lab var parallel "Concurrent elections"

. lab var vscdu "Vote share CDU"

. lab var vsspd "Vote share SPD"

. lab var vsgreen "Vote share Green"

. lab var vsfdp "Vote share FDP"

. lab var politicalcompetition "Political competition" 

. lab var number_voter_associations "Number of local party lists"

. 
. estpost tabstat days days1_100 time_function index_n_w_5 jahr_since_1990 $controls, stat(count mean sd min max ) c(s)   //  

Summary statistics: count mean sd min max
     for variables: days days1_100 time_function index_n_w_5 jahr_since_1990 wahlberechtigte pop punter15 ueber65 sharefemale for
> eigners density bip_real parallel vscdu vsspd vsgreen vsfdp politicalcompetition number_voter_associations

             |  e(count)    e(mean)      e(sd)     e(min)     e(max) 
-------------+-------------------------------------------------------
        days |      2556    361.034   250.2477          7        910 
   days1_100 |      2556   .0590767   .2358143          0          1 
time_funct~n |      2556   .4557452   .2577276   .0827903   .9810175 
 index_n_w_5 |      2556   .9258517   .6386299   .1243368   3.818666 
jahr_si~1990 |      2556       13.5   6.397865          4         23 
wahlberech~e |      2556   10215.76   23336.33        554     414972 
         pop |      2556   14184.68   37303.33        644     687775 
    punter15 |      2556   15.39742   1.927904   8.299999       22.6 
     ueber65 |      2556   18.14386    3.29389        8.5       31.7 
 sharefemale |      2556   50.55563   .9942789       46.3       55.1 
  foreigners |      2556   6.885368   4.821635          0       32.4 
     density |      2556   338.6629   391.1531   21.48099   2769.266 
    bip_real |      2556   5772.804   3177.361   1778.135   50765.68 
    parallel |      2556   .0492958   .2165272          0          1 
       vscdu |      2556   .3319491   .1228265          0   .7258928 
       vsspd |      2556   .3953057   .1294497          0          1 
     vsgreen |      2556   .0527234   .0610111          0   .3590452 
       vsfdp |      2556   .0321374   .0393417          0   .3460587 
politicalc~n |      2556   2.976655   .6693292          1   7.450704 
number_vot~s |      2556   1.168232   .8227824          0          7 

. 
. esttab . using A_Table_10.tex, replace cells("count(fmt(%9.0f)) mean(fmt(%9.2f)) sd(fmt(%9.2f)) min(fmt(%9.2f)) max(fmt(%9.2f))
> " ) label varwidth(30) noobs ///
> collabels("N" "Mean" "SD" "Min" "Max") nodep nonumb nomti modelwidth(6)
(output written to A_Table_10.tex)

.         
.         
. 
end of do-file

. do "C:\Users\fkostelk\Dropbox\Replication_EF\Code\3_1.do" 

. *********************************************************************************
. *                                                                               *
. *                              Analysis 3                                                                               *
. *                                                                               *
. *                     Preparing CSES2, CSES4 data                                                       *
. *                                                                               *
. *********************************************************************************
. 
. global beg_path `"C:\Users\fkostelk\Dropbox\Replication_EF\"'  // F - Home

.  
. 
. use `"${beg_path}Data\Analysis 3\cses2_stata\cses2.dta"', clear
( )

. 
. keep B1005 B1004 B1003 B3003

. rename (B1005 B1004 B1003) (respondent_id  study_id_alp study_id_num)

. 
. save `"${beg_path}Data\Analysis 3\cses2_stata\cses2_to_merge.dta"', replace
file C:\Users\fkostelk\Dropbox\Replication_EF\Data\Analysis 3\cses2_stata\cses2_to_merge.dta saved

.  
. use `"${beg_path}Data\Analysis 3\cses4_stata\cses4.dta"', clear
( )

. 
. keep D1005 D1004 D1003 D3019-D3023_6

. rename (D1005 D1004 D1003) (respondent_id  study_id_alp study_id_num)

. 
. save `"${beg_path}Data\Analysis 3\cses4_stata\cses4_to_merge.dta"', replace
file C:\Users\fkostelk\Dropbox\Replication_EF\Data\Analysis 3\cses4_stata\cses4_to_merge.dta saved

. 
. 
end of do-file

. do "C:\Users\fkostelk\Dropbox\Replication_EF\Code\3_2.do"

. *********************************************************************************
. *                                                                               *
. *                              Analysis 3                                                                               *
. *                                                                               *
. *                                   Analysis                                                                            *
. *                                                                               *
. *********************************************************************************
. 
. global beg_path `"C:\Users\fkostelk\Dropbox\Replication_EF\"'  // F - Home

.  
. use `"${beg_path}Data\Analysis 3\cses_imd.dta"', clear
( )

. 
. 
. recode IMD2001_1 (9997 9998 9999 = .), gen(age) 
(6306 differences between IMD2001_1 and age)

. recode IMD1013_Y (9999=.), gen(year_interview)
(11236 differences between IMD1013_Y and year_interview)

. gen yob = year_interview-age
(17,328 missing values generated)

. lab var yob "Year of birth"

. recode IMD3001 (9999993/9999999=.), gen(turnout) 
(9566 differences between IMD3001 and turnout)

. encode IMD1004, gen(election_study)

. recode IMD5051_1 (99=.), gen(polity)
(13221 differences between IMD5051_1 and polity)

. 
. encode IMD1006_NAM, gen(Country_CSES)

. fre Country_CSES, all

Country_CSES -- ID COMPONENT - POLITY NAME
---------------------------------------------------------------------------------
                                    |      Freq.    Percent      Valid       Cum.
------------------------------------+--------------------------------------------
Valid   1  Albania                  |       1116       0.40       0.40       0.40
        2  Argentina                |       1406       0.50       0.50       0.90
        3  Australia                |       9393       3.34       3.34       4.24
        4  Austria                  |       2165       0.77       0.77       5.01
        5  Belarus                  |       2000       0.71       0.71       5.72
        6  Belgium                  |       6364       2.26       2.26       7.98
        7  Brazil                   |       8650       3.08       3.08      11.06
        8  Bulgaria                 |       2481       0.88       0.88      11.94
        9  Canada                   |      15680       5.58       5.58      17.52
        10 Chile                    |       3573       1.27       1.27      18.79
        11 Croatia                  |       1004       0.36       0.36      19.15
        12 Czech Republic           |       7689       2.74       2.74      21.89
        13 Denmark                  |       5469       1.95       1.95      23.83
        14 Estonia                  |       1000       0.36       0.36      24.19
        15 Finland                  |       5364       1.91       1.91      26.10
        16 France                   |       5014       1.78       1.78      27.88
        17 Germany                  |      11044       3.93       3.93      31.81
        18 Great Britain            |       5324       1.89       1.89      33.70
        19 Greece                   |       3059       1.09       1.09      34.79
        20 Hong Kong                |       4115       1.46       1.46      36.26
        21 Hungary                  |       2725       0.97       0.97      37.23
        22 Iceland                  |       7536       2.68       2.68      39.91
        23 Ireland                  |       5655       2.01       2.01      41.92
        24 Israel                   |       4520       1.61       1.61      43.53
        25 Italy                    |       1439       0.51       0.51      44.04
        26 Japan                    |       6614       2.35       2.35      46.39
        27 Kenya                    |       1200       0.43       0.43      46.82
        28 Kyrgyzstan               |       2000       0.71       0.71      47.53
        29 Latvia                   |       3045       1.08       1.08      48.61
        30 Lithuania                |       1009       0.36       0.36      48.97
        31 Mexico                   |      13378       4.76       4.76      53.73
        32 Montenegro               |        967       0.34       0.34      54.08
        33 Netherlands              |       8187       2.91       2.91      56.99
        34 New Zealand              |       9568       3.40       3.40      60.39
        35 Norway                   |       9628       3.43       3.43      63.82
        36 Peru                     |       7394       2.63       2.63      66.45
        37 Philippines              |       3600       1.28       1.28      67.73
        38 Poland                   |       9935       3.53       3.53      71.26
        39 Portugal                 |       6919       2.46       2.46      73.73
        40 Republic of Korea        |       4600       1.64       1.64      75.36
        41 Romania                  |       7886       2.81       2.81      78.17
        42 Russian Federation       |       5086       1.81       1.81      79.98
        43 Serbia                   |       1568       0.56       0.56      80.53
        44 Slovakia                 |       2353       0.84       0.84      81.37
        45 Slovenia                 |       5119       1.82       1.82      83.19
        46 South Africa             |       2500       0.89       0.89      84.08
        47 Spain                    |       4836       1.72       1.72      85.80
        48 Sweden                   |       4596       1.64       1.64      87.44
        49 Switzerland              |      11021       3.92       3.92      91.36
        50 Taiwan                   |       8776       3.12       3.12      94.48
        51 Thailand                 |       4571       1.63       1.63      96.11
        52 Turkey                   |       2195       0.78       0.78      96.89
        53 Ukraine                  |       1148       0.41       0.41      97.30
        54 United States of America |       6631       2.36       2.36      99.66
        55 Uruguay                  |        968       0.34       0.34     100.00
        Total                       |     281083     100.00     100.00           
---------------------------------------------------------------------------------

. gen year = IMD1008_YEAR // Election year

. 
. tabstat turnout, by(election_study) 

Summary for variables: turnout
Group variable: election_study (ID VARIABLE - ELECTION STUDY (ALPHABETIC POLITY))

election_study |      Mean
---------------+----------
      ALB_2005 |  .9148148
      ARG_2015 |   .914717
      AUS_1996 |  .9896134
      AUS_2004 |  .9789157
      AUS_2007 |   .987682
      AUS_2013 |  .9816701
      AUT_2008 |  .8635579
      AUT_2013 |  .9239239
      BELF1999 |  .9743001
      BELW1999 |  .9372129
      BEL_2003 |  .9463754
      BGR_2001 |  .7887989
      BGR_2014 |  .7029204
      BLR_2001 |  .8603896
      BLR_2008 |  .6859756
      BRA_2002 |  .8786734
      BRA_2006 |  .8446894
      BRA_2010 |      .931
      BRA_2014 |  .9050208
      CAN_1997 |  .8609307
      CAN_2004 |  .9080048
      CAN_2008 |  .8849702
      CAN_2011 |  .8895753
      CAN_2015 |  .9490104
      CHE_1999 |  .6223742
      CHE_2003 |  .7395907
      CHE_2007 |  .6852262
      CHE_2011 |  .7427462
      CHL_1999 |  .9130435
      CHL_2005 |  .9582638
      CHL_2009 |  .9755481
      CZE_1996 |  .8957655
      CZE_2002 |   .738576
      CZE_2006 |  .7397192
      CZE_2010 |  .7121047
      CZE_2013 |   .682598
      DEU12002 |      .939
      DEU22002 |  .9046185
      DEU_1998 |  .9308802
      DEU_2005 |  .9365394
      DEU_2009 |  .7939189
      DEU_2013 |  .8466844
      DNK_1998 |  .9627204
      DNK_2001 |  .9599198
      DNK_2007 |  .9693166
      ESP_1996 |  .8990066
      ESP_2000 |  .8062382
      ESP_2004 |  .8922949
      ESP_2008 |  .8198653
      EST_2011 |  .7947686
      FIN_2003 |  .8062342
      FIN_2007 |  .8321624
      FIN_2011 |  .8754864
      FIN_2015 |  .8186987
      FRA_2002 |  .7933801
      FRA_2007 |      .829
      FRA_2012 |  .9030815
      GBR_1997 |   .833103
      GBR_2005 |  .7209302
      GBR_2015 |  .8190537
      GRC_2009 |  .8851816
      GRC_2012 |  .8557409
      GRC_2015 |  .9299299
      HKG_1998 |  .7425641
      HKG_2000 |  .6054628
      HKG_2004 |  .7560554
      HKG_2008 |  .7580247
      HKG_2012 |  .8581016
      HRV_2007 |  .8158954
      HUN_1998 |  .7327643
      HUN_2002 |  .8266667
      IRL_2002 |   .853339
      IRL_2007 |   .884993
      IRL_2011 |  .8990826
      ISL_1999 |  .9204328
      ISL_2003 |       .96
      ISL_2007 |  .9147235
      ISL_2009 |  .9440716
      ISL_2013 |  .9193548
      ISR_1996 |  .9098196
      ISR_2003 |  .8919142
      ISR_2006 |  .8088852
      ISR_2013 |  .8568608
      ITA_2006 |  .8126844
      JPN_1996 |  .8377358
      JPN_2004 |  .8548306
      JPN_2007 |  .8520408
      JPN_2013 |  .8083678
      KEN_2013 |  .8994032
      KGZ_2005 |  .8279516
      KOR_2000 |  .7472727
      KOR_2004 |  .7900404
      KOR_2008 |  .6472362
      KOR_2012 |      .778
      LTU_1997 |        .9
      LVA_2010 |  .7950249
      LVA_2011 |  .7607178
      LVA_2014 |  .7710145
      MEX_1997 |  .7313211
      MEX_2000 |  .9482155
      MEX_2003 |  .7189542
      MEX_2006 |  .8503145
      MEX_2009 |  .7726703
      MEX_2012 |  .8632371
      MEX_2015 |   .822838
      MNE_2012 |  .8874459
      NLD_1998 |  .9079383
      NLD_2002 |  .9688493
      NLD_2006 |  .9309029
      NLD_2010 |  .9131444
      NOR_1997 |  .8593674
      NOR_2001 |  .8274854
      NOR_2005 |  .8966034
      NOR_2009 |  .8955732
      NOR_2013 |  .8974209
      NZL_1996 |  .9618739
      NZL_2002 |  .8375149
      NZL_2008 |   .950849
      NZL_2011 |  .9206587
      NZL_2014 |  .9494196
      PER_2000 |  .9437387
      PER_2001 |  .9534884
      PER_2006 |  .9468242
      PER_2011 |  .9496173
      PER_2016 |  .9367816
      PHL_2004 |  .8648874
      PHL_2010 |  .8698916
      PHL_2016 |  .8557131
      POL_1997 |  .5760161
      POL_2001 |  .5804823
      POL_2005 |  .5265152
      POL_2007 |  .7127011
      POL_2011 |  .6105541
      PRT_2002 |  .7486507
      PRT_2005 |  .8134906
      PRT_2009 |  .7623762
      PRT_2015 |  .7605634
      ROU_1996 |  .8948276
      ROU_2004 |  .8034188
      ROU_2009 |  .8370424
      ROU_2012 |  .7412083
      ROU_2014 |  .8171946
      RUS_1999 |  .7932535
      RUS_2000 |         1
      RUS_2004 |  .7879599
      SRB_2012 |  .7636719
      SVK_2010 |     .7825
      SVK_2016 |  .7102222
      SVN_1996 |  .7579231
      SVN_2004 |  .7734694
      SVN_2008 |  .7651072
      SVN_2011 |  .7477833
      SWE_1998 |  .8859118
      SWE_2002 |  .8839623
      SWE_2006 |  .9036846
      SWE_2014 |  .9711538
      THA_2001 |         .
      THA_2007 |  .9778122
      THA_2011 |  .9765679
      TUR_2011 |  .9346225
      TUR_2015 |   .912523
      TWN_1996 |   .922754
      TWN_2001 |  .8243853
      TWN_2004 |  .9123967
      TWN_2008 |  .8837454
      TWN_2012 |   .893582
      UKR_1998 |  .7703057
      URY_2009 |         1
      USA_1996 |  .7659713
      USA_2004 |  .7851782
      USA_2008 |  .9937617
      USA_2012 |  .8294434
      ZAF_2009 |  .8108333
      ZAF_2014 |  .9280156
---------------+----------
         Total |  .8499136
--------------------------

. drop if inlist(election_study, 144, 168) // RUS_2000  URY_2009 (reported turnout 100%)
(2,716 observations deleted)

. 
. gen date = mdy(IMD1011_M, IMD1011_D, IMD1011_Y)

. 
. merge m:1 Country_CSES date using `"${beg_path}Data\Analysis 3\cses_fre_to_merge.dta"'
(variable Country_CSES was long, now double to accommodate using data's values)

    Result                      Number of obs
    -----------------------------------------
    Not matched                       175,677
        from master                   175,400  (_merge==1)
        from using                        277  (_merge==2)

    Matched                           102,967  (_merge==3)
    -----------------------------------------

. keep if _merge==3
(175,677 observations deleted)

. drop _merge

. 
. ********************************************************************************
. ************************* Preparing the Data ***********************************
. ********************************************************************************
. 
. *Merges to add Contact
. rename (IMD1003  IMD1004 IMD1005) (study_id_num study_id_alp respondent_id)

. 
. merge 1:1 study_id_alp respondent_id using `"${beg_path}Data\Analysis 3\cses2_stata\cses2_to_merge.dta"'

    Result                      Number of obs
    -----------------------------------------
    Not matched                       116,471
        from master                    77,591  (_merge==1)
        from using                     38,880  (_merge==2)

    Matched                            25,376  (_merge==3)
    -----------------------------------------

. drop if _merge==2
(38,880 observations deleted)

. drop _merge 

. 
. merge 1:1 study_id_alp respondent_id using `"${beg_path}Data\Analysis 3\cses4_stata\cses4_to_merge.dta"'

    Result                      Number of obs
    -----------------------------------------
    Not matched                       134,347
        from master                    80,878  (_merge==1)
        from using                     53,469  (_merge==2)

    Matched                            22,089  (_merge==3)
    -----------------------------------------

. drop if _merge==2
(53,469 observations deleted)

. drop _merge 

. 
. fre B3003 D3019

B3003 -- CONTACTED BY CANDIDATE OR PARTY DURING CAMPAIGN
---------------------------------------------------------------------
                        |      Freq.    Percent      Valid       Cum.
------------------------+--------------------------------------------
Valid   1 1. YES        |       4832       4.69      19.04      19.04
        2 2. NO         |      20210      19.63      79.64      98.68
        7 7. REFUSED    |        181       0.18       0.71      99.40
        8 8. DON'T KNOW |        127       0.12       0.50      99.90
        9 9. MISSING    |         26       0.03       0.10     100.00
        Total           |      25376      24.64     100.00           
Missing .               |      77591      75.36                      
Total                   |     102967     100.00                      
---------------------------------------------------------------------

D3019 -- MOBILIZATION: INSTITUTIONAL CONTACT
----------------------------------------------------------------------------------
                                     |      Freq.    Percent      Valid       Cum.
-------------------------------------+--------------------------------------------
Valid   1 1. YES                     |       4684       4.55      21.21      21.21
        5 5. NO                      |      16005      15.54      72.46      93.66
        7 7. VOLUNTEERED: REFUSED    |        113       0.11       0.51      94.17
        8 8. VOLUNTEERED: DON'T KNOW |        119       0.12       0.54      94.71
        9 9. MISSING                 |       1168       1.13       5.29     100.00
        Total                        |      22089      21.45     100.00           
Missing .                            |      80878      78.55                      
Total                                |     102967     100.00                      
----------------------------------------------------------------------------------

. 
. *CSES 2 : B3003
. recode B3003 (1=1 "Yes") (2=0 "No") (else = 2 "missing"), gen(contact) 
(98135 differences between B3003 and contact)

. 
. *CSES 4 : B3003
. replace contact = 0 if inlist(D3019, 5)
(16,005 real changes made)

. replace contact = 1 if inlist(D3019, 1)
(4,684 real changes made)

. fre IMD2003 

IMD2003 -- education
------------------------------------------------------------------------------------------------------
                                                         |      Freq.    Percent      Valid       Cum.
---------------------------------------------------------+--------------------------------------------
Valid   0 0. NONE (NO EDUCATION) / ILLITERATE            |       4021       3.91       3.91       3.91
        1 1. PRIMARY EDUCATION/LOWER SECONDARY EDUCATION |      35233      34.22      34.22      38.12
        2 2. HIGHER SECONDARY EDUCATION                  |      29483      28.63      28.63      66.76
        3 3. POST-SECONDARY (NON-UNIVERSITY) EDUCATION   |      13151      12.77      12.77      79.53
        4 4. UNIVERSITY EDUCATION                        |      19092      18.54      18.54      98.07
        7 7. VOLUNTEERED: REFUSED                        |        270       0.26       0.26      98.33
        8 8. VOLUNTEERED: DON'T KNOW                     |        256       0.25       0.25      98.58
        9 9. MISSING                                     |       1461       1.42       1.42     100.00
        Total                                            |     102967     100.00     100.00           
------------------------------------------------------------------------------------------------------

. 
. * Controls 
. recode IMD2002 (1=0 "Male") (2=1 "Female") (else=.), gen(female)
(102967 differences between IMD2002 and female)

. recode IMD2003 (5/9 = .), gen(education) 
(1987 differences between IMD2003 and education)

. tab education, gen(educ)

  RECODE of |
    IMD2003 |
(education) |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      4,021        3.98        3.98
          1 |     35,233       34.89       38.87
          2 |     29,483       29.20       68.07
          3 |     13,151       13.02       81.09
          4 |     19,092       18.91      100.00
------------+-----------------------------------
      Total |    100,980      100.00

. recode IMD2006 (7/9 = .), gen(income) 
(21203 differences between IMD2006 and income)

. tab income, gen(inc)

  RECODE of |
    IMD2006 |
   (income) |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |     15,730       19.24       19.24
          2 |     17,405       21.29       40.53
          3 |     17,821       21.80       62.32
          4 |     16,134       19.73       82.05
          5 |     14,674       17.95      100.00
------------+-----------------------------------
      Total |     81,764      100.00

. tab election_study, gen(elec)

ID VARIABLE |
 - ELECTION |
      STUDY |
(ALPHABETIC |
    POLITY) |      Freq.     Percent        Cum.
------------+-----------------------------------
   BGR_2001 |      1,482        1.44        1.44
   BGR_2014 |        999        0.97        2.41
   CZE_1996 |      1,229        1.19        3.60
   CZE_2002 |        948        0.92        4.52
   CZE_2006 |      2,002        1.94        6.47
   CZE_2010 |      1,857        1.80        8.27
   CZE_2013 |      1,653        1.61        9.88
   DNK_1998 |      2,001        1.94       11.82
   DNK_2001 |      2,026        1.97       13.79
   DNK_2007 |      1,442        1.40       15.19
   ESP_1996 |      1,212        1.18       16.37
   ESP_2000 |      1,208        1.17       17.54
   ESP_2004 |      1,212        1.18       18.72
   ESP_2008 |      1,204        1.17       19.89
   EST_2011 |      1,000        0.97       20.86
   FIN_2003 |      1,196        1.16       22.02
   FIN_2007 |      1,283        1.25       23.26
   FIN_2011 |      1,298        1.26       24.52
   FIN_2015 |      1,587        1.54       26.07
   FRA_2007 |      2,000        1.94       28.01
   GRC_2009 |      1,022        0.99       29.00
   GRC_2012 |      1,029        1.00       30.00
   GRC_2015 |      1,008        0.98       30.98
   HUN_1998 |      1,525        1.48       32.46
   HUN_2002 |      1,200        1.17       33.63
   IRL_2002 |      2,367        2.30       35.92
   IRL_2007 |      1,435        1.39       37.32
   IRL_2011 |      1,853        1.80       39.12
   ISL_1999 |      1,631        1.58       40.70
   ISL_2003 |      1,446        1.40       42.11
   ISL_2007 |      1,595        1.55       43.65
   ISL_2009 |      1,385        1.35       45.00
   ISL_2013 |      1,479        1.44       46.44
   LVA_2010 |      1,005        0.98       47.41
   LVA_2011 |      1,004        0.98       48.39
   LVA_2014 |      1,036        1.01       49.39
   NLD_1998 |      2,101        2.04       51.43
   NLD_2002 |      1,574        1.53       52.96
   NLD_2006 |      2,359        2.29       55.25
   NLD_2010 |      2,153        2.09       57.34
   NOR_1997 |      2,055        2.00       59.34
   NOR_2001 |      2,052        1.99       61.33
   NOR_2005 |      2,012        1.95       63.29
   NOR_2009 |      1,782        1.73       65.02
   NOR_2013 |      1,727        1.68       66.70
   POL_1997 |      2,003        1.95       68.64
   POL_2001 |      1,794        1.74       70.38
   POL_2005 |      2,402        2.33       72.72
   POL_2007 |      1,817        1.76       74.48
   POL_2011 |      1,919        1.86       76.34
   PRT_2002 |      1,303        1.27       77.61
   PRT_2005 |      2,801        2.72       80.33
   PRT_2009 |      1,316        1.28       81.61
   PRT_2015 |      1,499        1.46       83.06
   ROU_1996 |      1,175        1.14       84.20
   ROU_2004 |      1,913        1.86       86.06
   ROU_2012 |      2,283        2.22       88.28
   SVK_2010 |      1,203        1.17       89.45
   SVK_2016 |      1,150        1.12       90.56
   SVN_1996 |      2,031        1.97       92.54
   SVN_2004 |      1,002        0.97       93.51
   SVN_2008 |      1,055        1.02       94.54
   SVN_2011 |      1,031        1.00       95.54
   SWE_1998 |      1,157        1.12       96.66
   SWE_2002 |      1,060        1.03       97.69
   SWE_2006 |      1,547        1.50       99.19
   SWE_2014 |        832        0.81      100.00
------------+-----------------------------------
      Total |    102,967      100.00

. gen age_sq = age*age
(425 missing values generated)

. recode IMD3005_1 (1=1 "Close") (2/8=0 "No") (else=.), gen(party_close)
(58913 differences between IMD3005_1 and party_close)

. recode IMD2007 (7/9 =.), gen(city)
(1008 differences between IMD2007 and city)

. tab city, gen(cit)

  RECODE of |
    IMD2007 |
   (RURAL / |
     URBAN) |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |     27,793       27.26       27.26
          2 |     28,581       28.03       55.29
          3 |     17,579       17.24       72.53
          4 |     28,006       27.47      100.00
------------+-----------------------------------
      Total |    101,959      100.00

. sort Country_CSES Year

. recode IMD3012 (8=3) (7 9 =.), gen(efficacy)
(7508 differences between IMD3012 and efficacy)

. 
. *Reported turnout
. gen temp_weight = IMD1010_1*IMD1010_2

. gen rep_turnout=.
(102,967 missing values generated)

. levels study_id_num, local(election_year)
10002001 10002014 20301996 20302002 20302006 20302010 20302013 20801998 20802001 20802007 23302011 24602003 24602007 24602011 246
> 02015 25002007 30002009 30002012 30002015 34801998 34802002 35201999 35202003 35202007 35202009 35202013 37202002 37202007 3720
> 2011 42802010 42802011 42802014 52801998 52802002 52802006 52802010 57801997 57802001 57802005 57802009 57802013 61601997 61602
> 001 61602005 61602007 61602011 62002002 62002005 62002009 62002015 64201996 64202004 64202012 70302010 70302016 70501996 705020
> 04 70502008 70502011 72401996 72402000 72402004 72402008 75201998 75202002 75202006 75202014

. foreach i of numlist `election_year' {
  2. cap tab turnout [aw=temp_weight] if study_id_num ==`i', matcell(x) 
  3. matrix list x
  4. cap replace rep_turnout = x[2,1]/(x[2,1]+x[1,1]) if study_id_num ==`i'
  5. }

x[2,1]
           c1
r1  308.10558
r2  1173.8944

x[2,1]
           c1
r1  300.82785
r2  692.17215

x[2,1]
      c1
r1   128
r2  1100

x[2,1]
     c1
r1  246
r2  695

x[2,1]
      c1
r1   519
r2  1475

x[2,1]
      c1
r1   528
r2  1306

x[2,1]
      c1
r1   518
r2  1114

x[2,1]
           c1
r1  81.453814
r2  1903.5462

x[2,1]
      c1
r1    80
r2  1916

x[2,1]
           c1
r1  37.910366
r2  1396.0896

x[2,1]
           c1
r1  204.08484
r2  789.91516

x[2,1]
     c1
r1  230
r2  957

x[2,1]
      c1
r1   215
r2  1066

x[2,1]
      c1
r1   160
r2  1125

x[2,1]
           c1
r1  285.16498
r2   1297.835

x[2,1]
           c1
r1  378.30714
r2  1621.6929

x[2,1]
     c1
r1  117
r2  902

x[2,1]
           c1
r1  158.60109
r2  860.39891

x[2,1]
           c1
r1  98.048012
r2  900.95199

x[2,1]
           c1
r1  440.77076
r2  1082.2292

x[2,1]
           c1
r1  228.85093
r2  971.14907

x[2,1]
      c1
r1   125
r2  1446

x[2,1]
      c1
r1    55
r2  1320

x[2,1]
           c1
r1  131.39056
r2  1369.6094

x[2,1]
           c1
r1   83.76765
r2  1257.2323

x[2,1]
      c1
r1   110
r2  1254

x[2,1]
           c1
r1  528.11521
r2  1837.8848

x[2,1]
           c1
r1  311.47441
r2  1114.5256

x[2,1]
           c1
r1  191.15313
r2  1661.8469

x[2,1]
           c1
r1  213.06839
r2  791.93161

x[2,1]
           c1
r1  246.01533
r2  756.98467

x[2,1]
           c1
r1  259.76924
r2  775.23076

x[2,1]
           c1
r1  477.70716
r2  1336.2928

x[2,1]
           c1
r1  52.198808
r2  1520.8012

x[2,1]
           c1
r1  176.52357
r2  2182.4764

x[2,1]
           c1
r1   200.4326
r2  1952.5674

x[2,1]
      c1
r1   289
r2  1766

x[2,1]
      c1
r1   354
r2  1698

x[2,1]
      c1
r1   207
r2  1795

x[2,1]
      c1
r1   184
r2  1578

x[2,1]
           c1
r1   248.7548
r2  1457.2452

x[2,1]
           c1
r1  888.71122
r2  1104.2888

x[2,1]
           c1
r1  714.27496
r2   1068.725

x[2,1]
           c1
r1  1144.8615
r2  1231.1385

x[2,1]
           c1
r1  598.61379
r2  1204.3862

x[2,1]
           c1
r1  738.79507
r2  1156.2049

x[2,1]
     c1
r1  326
r2  971

x[2,1]
           c1
r1  457.79742
r2  2052.2026

x[2,1]
           c1
r1  363.75523
r2  949.24477

x[2,1]
           c1
r1  390.83581
r2  1100.1642

x[2,1]
      c1
r1   122
r2  1038

x[2,1]
      c1
r1   368
r2  1504

x[2,1]
           c1
r1  644.53244
r2  1573.4676

x[2,1]
           c1
r1  321.35736
r2  878.64264

x[2,1]
           c1
r1  365.66046
r2  759.33954

x[2,1]
      c1
r1   359
r2  1124

x[2,1]
     c1
r1  222
r2  758

x[2,1]
     c1
r1  241
r2  785

x[2,1]
     c1
r1  256
r2  759

x[2,1]
           c1
r1  121.76584
r2  1086.2342

x[2,1]
           c1
r1  205.80585
r2  851.19415

x[2,1]
           c1
r1  130.30378
r2  1076.6962

x[2,1]
           c1
r1  214.04009
r2  973.95991

x[2,1]
      c1
r1   132
r2  1025

x[2,1]
     c1
r1  123
r2  937

x[2,1]
      c1
r1   149
r2  1398

x[2,1]
     c1
r1   24
r2  808

. 
. *Real Turnout
. gen real_turnout = Turnout/100

. 
. *Weight
. gen weight_turnout = . 
(102,967 missing values generated)

. levels study_id_num, local(election_year)
10002001 10002014 20301996 20302002 20302006 20302010 20302013 20801998 20802001 20802007 23302011 24602003 24602007 24602011 246
> 02015 25002007 30002009 30002012 30002015 34801998 34802002 35201999 35202003 35202007 35202009 35202013 37202002 37202007 3720
> 2011 42802010 42802011 42802014 52801998 52802002 52802006 52802010 57801997 57802001 57802005 57802009 57802013 61601997 61602
> 001 61602005 61602007 61602011 62002002 62002005 62002009 62002015 64201996 64202004 64202012 70302010 70302016 70501996 705020
> 04 70502008 70502011 72401996 72402000 72402004 72402008 75201998 75202002 75202006 75202014

. foreach i of numlist `election_year'  {
  2. capture noisily display "Election" `i' 
  3. replace weight_turnout=real_turnout/rep_turnout if study_id_num ==`i' & turnout==1
  4. replace weight_turnout=(1-real_turnout)/(1-rep_turnout) if study_id_num ==`i' & turnout==0 
  5. }
Election10002001
(1,169 real changes made)
(313 real changes made)
Election10002014
(698 real changes made)
(295 real changes made)
Election20301996
(1,100 real changes made)
(128 real changes made)
Election20302002
(695 real changes made)
(246 real changes made)
Election20302006
(1,475 real changes made)
(519 real changes made)
Election20302010
(1,306 real changes made)
(528 real changes made)
Election20302013
(1,114 real changes made)
(518 real changes made)
Election20801998
(1,911 real changes made)
(74 real changes made)
Election20802001
(1,916 real changes made)
(80 real changes made)
Election20802007
(1,390 real changes made)
(44 real changes made)
Election23302011
(790 real changes made)
(204 real changes made)
Election24602003
(957 real changes made)
(230 real changes made)
Election24602007
(1,066 real changes made)
(215 real changes made)
Election24602011
(1,125 real changes made)
(160 real changes made)
Election24602015
(1,296 real changes made)
(287 real changes made)
Election25002007
(1,658 real changes made)
(342 real changes made)
Election30002009
(902 real changes made)
(117 real changes made)
Election30002012
(872 real changes made)
(147 real changes made)
Election30002015
(929 real changes made)
(70 real changes made)
Election34801998
(1,116 real changes made)
(407 real changes made)
Election34802002
(992 real changes made)
(208 real changes made)
Election35201999
(1,446 real changes made)
(125 real changes made)
Election35202003
(1,320 real changes made)
(55 real changes made)
Election35202007
(1,373 real changes made)
(128 real changes made)
Election35202009
(1,266 real changes made)
(75 real changes made)
Election35202013
(1,254 real changes made)
(110 real changes made)
Election37202002
(2,019 real changes made)
(347 real changes made)
Election37202007
(1,262 real changes made)
(164 real changes made)
Election37202011
(1,666 real changes made)
(187 real changes made)
Election42802010
(799 real changes made)
(206 real changes made)
Election42802011
(763 real changes made)
(240 real changes made)
Election42802014
(798 real changes made)
(237 real changes made)
Election52801998
(1,647 real changes made)
(167 real changes made)
Election52802002
(1,524 real changes made)
(49 real changes made)
Election52802006
(2,196 real changes made)
(163 real changes made)
Election52802010
(1,966 real changes made)
(187 real changes made)
Election57801997
(1,766 real changes made)
(289 real changes made)
Election57802001
(1,698 real changes made)
(354 real changes made)
Election57802005
(1,795 real changes made)
(207 real changes made)
Election57802009
(1,578 real changes made)
(184 real changes made)
Election57802013
(1,531 real changes made)
(175 real changes made)
Election61601997
(1,148 real changes made)
(845 real changes made)
Election61602001
(1,035 real changes made)
(748 real changes made)
Election61602005
(1,251 real changes made)
(1,125 real changes made)
Election61602007
(1,285 real changes made)
(518 real changes made)
Election61602011
(1,157 real changes made)
(738 real changes made)
Election62002002
(971 real changes made)
(326 real changes made)
Election62002005
(2,207 real changes made)
(506 real changes made)
Election62002009
(1,001 real changes made)
(312 real changes made)
Election62002015
(1,134 real changes made)
(357 real changes made)
Election64201996
(1,038 real changes made)
(122 real changes made)
Election64202004
(1,504 real changes made)
(368 real changes made)
Election64202012
(1,644 real changes made)
(574 real changes made)
Election70302010
(939 real changes made)
(261 real changes made)
Election70302016
(799 real changes made)
(326 real changes made)
Election70501996
(1,124 real changes made)
(359 real changes made)
Election70502004
(758 real changes made)
(222 real changes made)
Election70502008
(785 real changes made)
(241 real changes made)
Election70502011
(759 real changes made)
(256 real changes made)
Election72401996
(1,086 real changes made)
(122 real changes made)
Election72402000
(853 real changes made)
(205 real changes made)
Election72402004
(1,077 real changes made)
(130 real changes made)
Election72402008
(974 real changes made)
(214 real changes made)
Election75201998
(1,025 real changes made)
(132 real changes made)
Election75202002
(937 real changes made)
(123 real changes made)
Election75202006
(1,398 real changes made)
(149 real changes made)
Election75202014
(808 real changes made)
(24 real changes made)

. fre weight_turnout

weight_turnout
--------------------------------------------------------------
                 |      Freq.    Percent      Valid       Cum.
-----------------+--------------------------------------------
Valid   .5878138 |       1644       1.60       1.63       1.63
        .7054358 |        929       0.90       0.92       2.55
        .7281383 |       1504       1.46       1.49       4.04
        .7330878 |        698       0.68       0.69       4.73
        .7451472 |       1658       1.61       1.64       6.37
        .7567728 |       1134       1.10       1.12       7.50
        .7707745 |       1035       1.01       1.03       8.52
        .7712386 |        872       0.85       0.86       9.39
        .7794021 |       1666       1.62       1.65      11.04
        .7813379 |       1066       1.04       1.06      12.09
        .7834828 |        758       0.74       0.75      12.85
        .7835479 |       1251       1.21       1.24      14.08
        .783941  |        695       0.67       0.69      14.77
        .7856984 |        798       0.78       0.79      15.56
        .7859615 |       2207       2.14       2.19      17.75
        .7882388 |        763       0.74       0.76      18.51
        .7944247 |        799       0.78       0.79      19.30
        .797928  |       1116       1.08       1.11      20.40
        .7990605 |        790       0.77       0.78      21.19
        .8015305 |        902       0.88       0.89      22.08
        :        |          :          :          :          :
        2.241013 |        147       0.14       0.15      97.94
        2.244057 |        122       0.12       0.12      98.06
        2.254607 |        130       0.13       0.13      98.19
        2.262829 |        184       0.18       0.18      98.37
        2.264125 |        128       0.12       0.13      98.50
        2.281968 |        122       0.12       0.12      98.62
        2.29276  |        110       0.11       0.11      98.73
        2.370825 |        160       0.16       0.16      98.89
        2.378872 |         75       0.07       0.07      98.96
        2.530081 |        117       0.11       0.12      99.08
        2.625959 |        163       0.16       0.16      99.24
        2.642474 |        187       0.18       0.19      99.42
        2.917834 |        187       0.18       0.19      99.61
        3.064999 |         55       0.05       0.05      99.66
        3.206072 |         80       0.08       0.08      99.74
        3.423937 |         74       0.07       0.07      99.81
        3.706717 |         70       0.07       0.07      99.88
        4.919202 |         24       0.02       0.02      99.91
        5.072474 |         44       0.04       0.04      99.95
        6.310226 |         49       0.05       0.05     100.00
        Total    |     100925      98.02     100.00           
Missing .        |       2042       1.98                      
Total            |     102967     100.00                      
--------------------------------------------------------------

. gen final_weight=weight_turnout*temp_weight  
(2,042 missing values generated)

. 
. *Test 
. tab turnout [aw=final_weight] if study_id_num == 75202006 

  RECODE of |
    IMD3001 |
 (TURNOUT - |
       MAIN |
  ELECTION) |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 | 278.614763       18.01       18.01
          1 | 1,268.3852       81.99      100.00
------------+-----------------------------------
      Total |      1,547      100.00

. tab real_turnout  if study_id_num == 75202006  

real_turnou |
          t |      Freq.     Percent        Cum.
------------+-----------------------------------
      .8199 |      1,547      100.00      100.00
------------+-----------------------------------
      Total |      1,547      100.00

. 
. *Filter for filtering out observations with missing values
. gen filter = female!=. & age!=. & education!=. & income !=. & city!=. & party!=. & efficacy!=.

. 
. ********************************************************************************
. ********************************** Analyses ************************************
. ********************************************************************************
. 
. ***********
. * Table 4 *
. ***********
. 
. *Analysis
. cd `"${beg_path}Results"'
C:\Users\fkostelk\Dropbox\Replication_EF\Results

. tabstat index_n_w_5, by( study_id_alp)

Summary for variables: index_n_w_5
Group variable: study_id_alp (ID VARIABLE - ELECTION STUDY (ALPHABETIC POLITY))

study_id_alp |      Mean
-------------+----------
    BGR_2001 |    .36918
    BGR_2014 |  1.232339
    CZE_1996 |  .2344127
    CZE_2002 |   .301268
    CZE_2006 |  .4956927
    CZE_2010 |  .6755542
    CZE_2013 |  1.475427
    DNK_1998 |  .8099808
    DNK_2001 |  .4786705
    DNK_2007 |  .2323882
    ESP_1996 |  1.131896
    ESP_2000 |  .9037784
    ESP_2004 |  .8659804
    ESP_2008 |  .9224598
    EST_2011 |   .444643
    FIN_2003 |  .2202223
    FIN_2007 |  .8060941
    FIN_2011 |  .2570919
    FIN_2015 |  .5888194
    FRA_2007 |  2.051381
    GRC_2009 |  .9508977
    GRC_2012 |  .5726758
    GRC_2015 |  1.181012
    HUN_1998 |  .6896383
    HUN_2002 |  .0842386
    IRL_2002 |  1.353727
    IRL_2007 |  .0625208
    IRL_2011 |  .5152099
    ISL_1999 |  .4665246
    ISL_2003 |  .4087669
    ISL_2007 |  .4651975
    ISL_2009 |  .2038877
    ISL_2013 |  1.368382
    LVA_2010 |  .5604153
    LVA_2011 |  1.458727
    LVA_2014 |  1.175976
    NLD_1998 |  .9364087
    NLD_2002 |  .9526684
    NLD_2006 |  .8717694
    NLD_2010 |  1.209274
    NOR_1997 |  .2078628
    NOR_2001 |  .1548329
    NOR_2005 |  .1544804
    NOR_2009 |  .1518938
    NOR_2013 |  .1548329
    POL_1997 |  1.294124
    POL_2001 |   .467197
    POL_2005 |  .4962049
    POL_2007 |  1.043115
    POL_2011 |  1.265343
    PRT_2002 |  1.325427
    PRT_2005 |  .6467126
    PRT_2009 |  .9361041
    PRT_2015 |  .4107597
    ROU_1996 |   1.30495
    ROU_2004 |  1.429256
    ROU_2012 |   1.45901
    SVK_2010 |  1.892026
    SVK_2016 |  1.245455
    SVN_1996 |  .2389801
    SVN_2004 |  2.460994
    SVN_2008 |  1.140382
    SVN_2011 |  2.328516
    SWE_1998 |  .0887375
    SWE_2002 |  .0570317
    SWE_2006 |  .1717594
    SWE_2014 |  .7544841
-------------+----------
       Total |  .7815186
------------------------

. eststo clear

. 
. eststo M1: melogit turnout c.index_n_w_5 i.Country_CSES [pw=final_weight] if filter==1 || study_id_alp: , 

Fitting fixed-effects model:

Iteration 0:   log likelihood = -44639.854  
Iteration 1:   log likelihood = -44573.284  
Iteration 2:   log likelihood = -44573.239  
Iteration 3:   log likelihood = -44573.239  

Refining starting values:

Grid node 0:   log likelihood = -44472.772

Fitting full model:

Iteration 0:   log pseudolikelihood = -44472.772  (not concave)
Iteration 1:   log pseudolikelihood = -44454.562  (not concave)
Iteration 2:   log pseudolikelihood = -44436.406  (not concave)
Iteration 3:   log pseudolikelihood = -44417.384  (not concave)
Iteration 4:   log pseudolikelihood = -44400.491  
Iteration 5:   log pseudolikelihood = -44400.166  
Iteration 6:   log pseudolikelihood = -44400.061  
Iteration 7:   log pseudolikelihood = -44400.061  

Mixed-effects logistic regression               Number of obs     =     75,183
Group variable: study_id_alp                    Number of groups  =         64

                                                Obs per group:
                                                              min =        504
                                                              avg =    1,174.7
                                                              max =      2,180

Integration method: mvaghermite                 Integration pts.  =          7

                                                Wald chi2(20)     =   1.37e+08
Log pseudolikelihood = -44400.061               Prob > chi2       =     0.0000
                             (Std. err. adjusted for 64 clusters in study_id_alp)
---------------------------------------------------------------------------------
                |               Robust
        turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
----------------+----------------------------------------------------------------
    index_n_w_5 |  -.2081525   .0534551    -3.89   0.000    -.3129226   -.1033825
                |
   Country_CSES |
Czech Republic  |   .0555313   .1276576     0.44   0.664    -.1946731    .3057356
       Denmark  |   1.436919    .149823     9.59   0.000     1.143271    1.730566
       Estonia  |   .0122671   .0384208     0.32   0.750    -.0630362    .0875704
       Finland  |    .065087   .0481245     1.35   0.176    -.0292354    .1594094
        France  |   .0163682   .0766026     0.21   0.831    -.1337701    .1665065
        Greece  |   .1981966   .1180622     1.68   0.093    -.0332009    .4295942
       Hungary  |  -.0925898   .2057166    -0.45   0.653     -.495787    .3106074
       Iceland  |   1.071027   .0645561    16.59   0.000     .9444997    1.197555
       Ireland  |   .1144374   .0684146     1.67   0.094    -.0196528    .2485276
        Latvia  |  -.0277469   .0684553    -0.41   0.685    -.1619168     .106423
   Netherlands  |   .7016066   .1062322     6.60   0.000     .4933953    .9098179
        Norway  |   .5669444   .0571769     9.92   0.000     .4548798     .679009
        Poland  |  -.5495498   .0807805    -6.80   0.000    -.7078767    -.391223
      Portugal  |  -.1800133   .1022567    -1.76   0.078    -.3804327    .0204062
       Romania  |  -.0304815   .2993986    -0.10   0.919     -.617292    .5563289
      Slovakia  |    .006577   .0767459     0.09   0.932    -.1438422    .1569963
      Slovenia  |   .4010166   .0896738     4.47   0.000     .2252592    .5767739
         Spain  |   .5862217   .0944234     6.21   0.000     .4011551    .7712882
        Sweden  |   .9319631   .1240127     7.52   0.000     .6889026    1.175024
                |
          _cons |   .7609994   .0535482    14.21   0.000     .6560467     .865952
----------------+----------------------------------------------------------------
study_id_alp    |
      var(_cons)|   .0341743   .0101639                      .0190784    .0612151
---------------------------------------------------------------------------------

. matrix x = e(N_g)

. estadd scalar N_years= x[1,1] // 

added scalar:
            e(N_years) =  64

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

. estadd local macro_controls "No", replace

added macro:
     e(macro_controls) : "No"

. estadd local micro_controls "No", replace

added macro:
     e(micro_controls) : "No"

. 
. eststo M2: melogit turnout c.index_n_w_5 Majority Closeness ib2.Elsystem    Joint1 snap i.Country_CSES [pw=final_weight] if fil
> ter==1 || study_id_alp:  , 
note: 16.Country_CSES omitted because of collinearity.
note: 41.Country_CSES omitted because of collinearity.

Fitting fixed-effects model:

Iteration 0:   log likelihood = -44547.823  
Iteration 1:   log likelihood = -44480.774  
Iteration 2:   log likelihood = -44480.728  
Iteration 3:   log likelihood = -44480.728  

Refining starting values:

Grid node 0:   log likelihood = -44472.369

Fitting full model:

Iteration 0:   log pseudolikelihood = -44472.369  (not concave)
Iteration 1:   log pseudolikelihood = -44408.158  (not concave)
Iteration 2:   log pseudolikelihood = -44391.512  
Iteration 3:   log pseudolikelihood = -44388.875  
Iteration 4:   log pseudolikelihood = -44387.846  
Iteration 5:   log pseudolikelihood = -44387.834  
Iteration 6:   log pseudolikelihood = -44387.834  

Mixed-effects logistic regression               Number of obs     =     75,183
Group variable: study_id_alp                    Number of groups  =         64

                                                Obs per group:
                                                              min =        504
                                                              avg =    1,174.7
                                                              max =      2,180

Integration method: mvaghermite                 Integration pts.  =          7

                                                Wald chi2(23)     =          .
Log pseudolikelihood = -44387.834               Prob > chi2       =          .
                             (Std. err. adjusted for 64 clusters in study_id_alp)
---------------------------------------------------------------------------------
                |               Robust
        turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
----------------+----------------------------------------------------------------
    index_n_w_5 |  -.2689943   .0549596    -4.89   0.000    -.3767132   -.1612754
       Majority |  -.0094135   .0062249    -1.51   0.130     -.021614    .0027871
      Closeness |  -.0143051   .0048482    -2.95   0.003    -.0238073   -.0048029
                |
       Elsystem |
  Majoritarian  |   .1188249   .1135051     1.05   0.295     -.103641    .3412908
         Mixed  |  -.1483612   .1412469    -1.05   0.294    -.4252001    .1284777
                |
         Joint1 |   .2529879   .3226101     0.78   0.433    -.3793162    .8852921
           snap |    .161269   .0456286     3.53   0.000     .0718386    .2506993
                |
   Country_CSES |
Czech Republic  |  -.0150318   .1231567    -0.12   0.903    -.2564146    .2263509
       Denmark  |   1.272885   .1308227     9.73   0.000     1.016477    1.529293
       Estonia  |  -.0161471   .0576037    -0.28   0.779    -.1290483     .096754
       Finland  |   .0420835   .0691254     0.61   0.543    -.0933997    .1775667
        France  |          0  (omitted)
        Greece  |   .0185173   .1301443     0.14   0.887    -.2365608    .2735954
       Hungary  |  -.1045192   .2419825    -0.43   0.666    -.5787961    .3697577
       Iceland  |   .9612771   .0892375    10.77   0.000     .7863748    1.136179
       Ireland  |   .1060583   .0883524     1.20   0.230    -.0671092    .2792258
        Latvia  |  -.1516921   .0908592    -1.67   0.095     -.329773    .0263887
   Netherlands  |   .7120507   .1201874     5.92   0.000     .4764877    .9476137
        Norway  |   .5617102    .077771     7.22   0.000     .4092817    .7141386
        Poland  |  -.5632964   .0884847    -6.37   0.000    -.7367233   -.3898695
      Portugal  |  -.3323569   .1291318    -2.57   0.010    -.5854505   -.0792633
       Romania  |          0  (omitted)
      Slovakia  |   .1985406   .0999068     1.99   0.047     .0027269    .3943544
      Slovenia  |   .3844645   .1110397     3.46   0.001     .1668308    .6020982
         Spain  |   .4539306    .126116     3.60   0.000     .2067477    .7011135
        Sweden  |   .9449496   .1230284     7.68   0.000     .7038184    1.186081
                |
          _cons |    1.09367   .1977368     5.53   0.000     .7061135    1.481227
----------------+----------------------------------------------------------------
study_id_alp    |
      var(_cons)|   .0215414   .0062914                      .0121526    .0381836
---------------------------------------------------------------------------------

. matrix x = e(N_g)

. estadd scalar N_years= x[1,1] // 

added scalar:
            e(N_years) =  64

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

. estadd local macro_controls "Yes", replace

added macro:
     e(macro_controls) : "Yes"

. estadd local micro_controls "No", replace

added macro:
     e(micro_controls) : "No"

. 
. eststo M3: melogit turnout c.index_n_w_5 Majority Closeness ib2.Elsystem   Joint1 snap c.age##c.age female educ2-educ5 inc2-inc
> 5 cit2-cit4 party efficacy i.Country_CSES [pw=final_weight] if filter==1 || study_id_alp:  , 
note: 16.Country_CSES omitted because of collinearity.
note: 41.Country_CSES omitted because of collinearity.

Fitting fixed-effects model:

Iteration 0:   log likelihood = -38932.326  
Iteration 1:   log likelihood = -38739.137  
Iteration 2:   log likelihood = -38738.934  
Iteration 3:   log likelihood = -38738.934  

Refining starting values:

Grid node 0:   log likelihood = -38734.106

Fitting full model:

Iteration 0:   log pseudolikelihood = -38734.106  (not concave)
Iteration 1:   log pseudolikelihood = -38689.681  (not concave)
Iteration 2:   log pseudolikelihood = -38654.658  
Iteration 3:   log pseudolikelihood =  -38652.35  
Iteration 4:   log pseudolikelihood = -38652.324  
Iteration 5:   log pseudolikelihood = -38652.323  

Mixed-effects logistic regression               Number of obs     =     75,183
Group variable: study_id_alp                    Number of groups  =         64

                                                Obs per group:
                                                              min =        504
                                                              avg =    1,174.7
                                                              max =      2,180

Integration method: mvaghermite                 Integration pts.  =          7

                                                Wald chi2(39)     =          .
Log pseudolikelihood = -38652.323               Prob > chi2       =          .
                             (Std. err. adjusted for 64 clusters in study_id_alp)
---------------------------------------------------------------------------------
                |               Robust
        turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
----------------+----------------------------------------------------------------
    index_n_w_5 |  -.3209228   .0620795    -5.17   0.000    -.4425963   -.1992494
       Majority |  -.0014107   .0066478    -0.21   0.832    -.0144401    .0116187
      Closeness |  -.0087602   .0057133    -1.53   0.125    -.0199581    .0024377
                |
       Elsystem |
  Majoritarian  |   .1855301   .1634224     1.14   0.256    -.1347718    .5058321
         Mixed  |   -.099415   .1959492    -0.51   0.612    -.4834684    .2846384
                |
         Joint1 |   .3804788    .355771     1.07   0.285    -.3168195    1.077777
           snap |   .1931048   .0575046     3.36   0.001     .0803978    .3058118
            age |   .0919883   .0072017    12.77   0.000     .0778732    .1061035
                |
    c.age#c.age |  -.0007008    .000069   -10.15   0.000    -.0008361   -.0005655
                |
         female |   .0110685   .0317587     0.35   0.727    -.0511774    .0733144
          educ2 |   .3088293   .1092479     2.83   0.005     .0947074    .5229513
          educ3 |    .621019   .1241285     5.00   0.000     .3777316    .8643063
          educ4 |   .6699404   .1140318     5.88   0.000     .4464422    .8934387
          educ5 |   1.129525   .1374334     8.22   0.000     .8601601    1.398889
           inc2 |   .1614173   .0688885     2.34   0.019     .0263983    .2964362
           inc3 |   .3021773   .0627993     4.81   0.000      .179093    .4252616
           inc4 |   .5106744    .050968    10.02   0.000     .4107789    .6105699
           inc5 |   .5173704   .0993106     5.21   0.000     .3227251    .7120156
           cit2 |  -.1006873   .0554045    -1.82   0.069     -.209278    .0079035
           cit3 |  -.1136984    .063432    -1.79   0.073    -.2380229    .0106261
           cit4 |  -.1123655   .0752371    -1.49   0.135    -.2598275    .0350966
    party_close |   .9781788   .0503077    19.44   0.000     .8795774     1.07678
       efficacy |   .3409956   .0245947    13.86   0.000     .2927908    .3892003
                |
   Country_CSES |
Czech Republic  |   .2101082   .1805837     1.16   0.245    -.1438294    .5640458
       Denmark  |   1.254666   .1547213     8.11   0.000     .9514174    1.557914
       Estonia  |  -.0068192   .1239074    -0.06   0.956    -.2496733    .2360349
       Finland  |  -.0551862   .1255145    -0.44   0.660    -.3011901    .1908177
        France  |          0  (omitted)
        Greece  |   .1575611   .1794108     0.88   0.380    -.1940775    .5091998
       Hungary  |   .0265449   .2507115     0.11   0.916    -.4648406    .5179304
       Iceland  |   1.147438   .1567206     7.32   0.000     .8402709    1.454604
       Ireland  |   .5172513   .1682817     3.07   0.002     .1874252    .8470774
        Latvia  |  -.1215438   .1384535    -0.88   0.380    -.3929076    .1498201
   Netherlands  |   .9218569   .1420824     6.49   0.000     .6433804    1.200333
        Norway  |   .3995536    .141244     2.83   0.005     .1227204    .6763868
        Poland  |  -.3376637   .1410717    -2.39   0.017    -.6141591   -.0611683
      Portugal  |  -.0660847   .1753551    -0.38   0.706    -.4097743     .277605
       Romania  |          0  (omitted)
      Slovakia  |   .1585425   .1469056     1.08   0.280    -.1293871    .4464721
      Slovenia  |   .5944846   .1603493     3.71   0.000     .2802057    .9087635
         Spain  |   .7194657   .1882606     3.82   0.000     .3504817     1.08845
        Sweden  |   .9000122   .1638101     5.49   0.000     .5789504    1.221074
                |
          _cons |   -4.02054   .2925761   -13.74   0.000    -4.593978   -3.447101
----------------+----------------------------------------------------------------
study_id_alp    |
      var(_cons)|   .0260472    .007517                      .0147948    .0458576
---------------------------------------------------------------------------------

. matrix x = e(N_g)

. estadd scalar N_years= x[1,1] // 

added scalar:
            e(N_years) =  64

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

. estadd local macro_controls "Yes", replace

added macro:
     e(macro_controls) : "Yes"

. estadd local micro_controls "Yes", replace

added macro:
     e(micro_controls) : "Yes"

. 
. *For interpretation in the text
. margins, dydx(index_n_w_5) 

Average marginal effects                                Number of obs = 75,183
Model VCE: Robust

Expression: Marginal predicted mean, predict()
dy/dx wrt:  index_n_w_5

------------------------------------------------------------------------------
             |            Delta-method
             |      dy/dx   std. err.      z    P>|z|     [95% conf. interval]
-------------+----------------------------------------------------------------
 index_n_w_5 |  -.0535799   .0102409    -5.23   0.000    -.0736516   -.0335081
------------------------------------------------------------------------------

. su index_n_w_5 if contact!=2 & filter==1

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
 index_n_w_5 |     33,539    .8192692     .567156   .0570317   2.460994

. di  -.0535799 * r(sd)
-.03038816

. 
. eststo M4: melogit turnout c.index_n_w_5 i.contact Majority Closeness ib2.Elsystem   Joint1 snap  c.age##c.age female educ2-edu
> c5  inc2-inc5 cit2-cit4 party efficacy i.Country_CSES  [pw=final_weight] if filter==1 || study_id_alp:, 
note: 16.Country_CSES omitted because of collinearity.
note: 41.Country_CSES omitted because of collinearity.

Fitting fixed-effects model:

Iteration 0:   log likelihood = -38894.909  
Iteration 1:   log likelihood = -38698.943  
Iteration 2:   log likelihood = -38698.742  
Iteration 3:   log likelihood = -38698.742  

Refining starting values:

Grid node 0:   log likelihood = -38698.011

Fitting full model:

Iteration 0:   log pseudolikelihood = -38698.011  (not concave)
Iteration 1:   log pseudolikelihood = -38658.228  (not concave)
Iteration 2:   log pseudolikelihood = -38618.907  
Iteration 3:   log pseudolikelihood = -38615.465  
Iteration 4:   log pseudolikelihood = -38609.655  
Iteration 5:   log pseudolikelihood = -38608.817  
Iteration 6:   log pseudolikelihood = -38608.777  
Iteration 7:   log pseudolikelihood = -38608.777  

Mixed-effects logistic regression               Number of obs     =     75,183
Group variable: study_id_alp                    Number of groups  =         64

                                                Obs per group:
                                                              min =        504
                                                              avg =    1,174.7
                                                              max =      2,180

Integration method: mvaghermite                 Integration pts.  =          7

                                                Wald chi2(41)     =          .
Log pseudolikelihood = -38608.777               Prob > chi2       =          .
                             (Std. err. adjusted for 64 clusters in study_id_alp)
---------------------------------------------------------------------------------
                |               Robust
        turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
----------------+----------------------------------------------------------------
    index_n_w_5 |  -.3780941   .0833678    -4.54   0.000    -.5414921   -.2146962
                |
        contact |
           Yes  |   .3025972   .0792746     3.82   0.000     .1472217    .4579726
       missing  |  -.1521454   .2120133    -0.72   0.473    -.5676839     .263393
                |
       Majority |  -.0058726   .0087845    -0.67   0.504    -.0230899    .0113448
      Closeness |  -.0088982   .0067569    -1.32   0.188    -.0221415    .0043451
                |
       Elsystem |
  Majoritarian  |   .3722613   .3094403     1.20   0.229    -.2342305    .9787531
         Mixed  |  -.1294487    .218613    -0.59   0.554    -.5579224     .299025
                |
         Joint1 |   .4664729     .45172     1.03   0.302     -.418882    1.351828
           snap |   .1969694   .0647434     3.04   0.002     .0700747    .3238641
            age |   .0916528   .0070914    12.92   0.000     .0777539    .1055518
                |
    c.age#c.age |  -.0006967   .0000683   -10.20   0.000    -.0008307   -.0005628
                |
         female |   .0127067    .032248     0.39   0.694    -.0504981    .0759116
          educ2 |   .3032385   .1080122     2.81   0.005     .0915385    .5149385
          educ3 |    .613748    .123657     4.96   0.000     .3713847    .8561112
          educ4 |   .6659649   .1125492     5.92   0.000     .4453725    .8865572
          educ5 |   1.119278   .1371384     8.16   0.000      .850492    1.388065
           inc2 |   .1633612   .0696462     2.35   0.019     .0268572    .2998653
           inc3 |   .3010241   .0631471     4.77   0.000      .177258    .4247901
           inc4 |   .5115882    .051258     9.98   0.000     .4111244     .612052
           inc5 |   .5197992   .0986542     5.27   0.000     .3264406    .7131578
           cit2 |  -.1023271   .0555066    -1.84   0.065    -.2111181    .0064639
           cit3 |  -.1137198   .0638066    -1.78   0.075    -.2387785    .0113389
           cit4 |  -.1133904   .0758168    -1.50   0.135    -.2619887    .0352079
    party_close |   .9715453   .0499942    19.43   0.000     .8735585    1.069532
       efficacy |   .3399797   .0246944    13.77   0.000     .2915795    .3883799
                |
   Country_CSES |
Czech Republic  |   .2742513   .2487036     1.10   0.270    -.2131987    .7617013
       Denmark  |   1.313367   .2185911     6.01   0.000     .8849363    1.741798
       Estonia  |   .1329257   .2330522     0.57   0.568    -.3238482    .5896997
       Finland  |   .0463022    .194329     0.24   0.812    -.3345757    .4271801
        France  |          0  (omitted)
        Greece  |   .1284164   .2194682     0.59   0.558    -.3017335    .5585662
       Hungary  |   .0717616   .2710085     0.26   0.791    -.4594054    .6029285
       Iceland  |   1.181635   .2010094     5.88   0.000     .7876638    1.575606
       Ireland  |   .4218565    .181467     2.32   0.020     .0661877    .7775253
        Latvia  |  -.1065128   .1510839    -0.70   0.481    -.4026319    .1896063
   Netherlands  |   1.107251   .2738978     4.04   0.000     .5704209    1.644081
        Norway  |   .4284745   .1769291     2.42   0.015     .0816999    .7752491
        Poland  |  -.2929009   .1846312    -1.59   0.113    -.6547715    .0689696
      Portugal  |  -.0967084   .2090105    -0.46   0.644    -.5063614    .3129446
       Romania  |          0  (omitted)
      Slovakia  |   .2177656   .2150777     1.01   0.311    -.2037789    .6393102
      Slovenia  |   .7029571   .2181131     3.22   0.001     .2754633    1.130451
         Spain  |   .7906319   .2608283     3.03   0.002     .2794178    1.301846
        Sweden  |   .9069269   .1945378     4.66   0.000     .5256398    1.288214
                |
          _cons |  -3.870636     .32797   -11.80   0.000    -4.513446   -3.227827
----------------+----------------------------------------------------------------
study_id_alp    |
      var(_cons)|   .0377392   .0228594                      .0115133    .1237038
---------------------------------------------------------------------------------

. matrix x = e(N_g) 

. estadd scalar N_years= x[1,1] // 

added scalar:
            e(N_years) =  64

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

. estadd local macro_controls "Yes", replace

added macro:
     e(macro_controls) : "Yes"

. estadd local micro_controls "Yes", replace

added macro:
     e(micro_controls) : "Yes"

. 
. eststo M5: melogit turnout c.index_n_w_5##i.contact Majority Closeness ib2.Elsystem  Joint1 snap c.age##c.age female educ2-educ
> 5  inc2-inc5 cit2-cit4 party efficacy i.Country_CSES  [pw=final_weight] if filter==1 || study_id_alp: ,
note: 16.Country_CSES omitted because of collinearity.
note: 41.Country_CSES omitted because of collinearity.

Fitting fixed-effects model:

Iteration 0:   log likelihood = -38892.631  
Iteration 1:   log likelihood = -38695.203  
Iteration 2:   log likelihood = -38695.002  
Iteration 3:   log likelihood = -38695.002  

Refining starting values:

Grid node 0:   log likelihood = -38692.247

Fitting full model:

Iteration 0:   log pseudolikelihood = -38692.247  (not concave)
Iteration 1:   log pseudolikelihood = -38653.221  (not concave)
Iteration 2:   log pseudolikelihood =  -38614.06  
Iteration 3:   log pseudolikelihood = -38608.769  
Iteration 4:   log pseudolikelihood =  -38603.56  
Iteration 5:   log pseudolikelihood = -38602.956  
Iteration 6:   log pseudolikelihood = -38602.931  
Iteration 7:   log pseudolikelihood = -38602.931  

Mixed-effects logistic regression               Number of obs     =     75,183
Group variable: study_id_alp                    Number of groups  =         64

                                                Obs per group:
                                                              min =        504
                                                              avg =    1,174.7
                                                              max =      2,180

Integration method: mvaghermite                 Integration pts.  =          7

                                                Wald chi2(43)     =          .
Log pseudolikelihood = -38602.931               Prob > chi2       =          .
                                   (Std. err. adjusted for 64 clusters in study_id_alp)
---------------------------------------------------------------------------------------
                      |               Robust
              turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
----------------------+----------------------------------------------------------------
          index_n_w_5 |  -.3487638   .1203956    -2.90   0.004    -.5847349   -.1127927
                      |
              contact |
                 Yes  |   .5089037   .1089328     4.67   0.000     .2953993     .722408
             missing  |  -.1413071   .3066018    -0.46   0.645    -.7422357    .4596214
                      |
contact#c.index_n_w_5 |
                 Yes  |  -.2271693   .1092825    -2.08   0.038     -.441359   -.0129796
             missing  |  -.0100997   .1762142    -0.06   0.954    -.3554732    .3352738
                      |
             Majority |  -.0058016   .0088665    -0.65   0.513    -.0231795    .0115764
            Closeness |  -.0084421   .0069318    -1.22   0.223    -.0220281    .0051439
                      |
             Elsystem |
        Majoritarian  |   .3422201   .2671971     1.28   0.200    -.1814767    .8659168
               Mixed  |   -.153476   .2242401    -0.68   0.494    -.5929786    .2860265
                      |
               Joint1 |   .4568783   .4494412     1.02   0.309    -.4240103    1.337767
                 snap |   .1913949   .0686005     2.79   0.005     .0569404    .3258494
                  age |   .0917947   .0071555    12.83   0.000     .0777701    .1058193
                      |
          c.age#c.age |  -.0006981   .0000688   -10.15   0.000    -.0008329   -.0005632
                      |
               female |   .0125069   .0320927     0.39   0.697    -.0503936    .0754074
                educ2 |   .3036394   .1083074     2.80   0.005     .0913608     .515918
                educ3 |   .6139466   .1236144     4.97   0.000     .3716668    .8562264
                educ4 |   .6662276   .1127694     5.91   0.000     .4452036    .8872516
                educ5 |   1.120039   .1371326     8.17   0.000     .8512637    1.388814
                 inc2 |   .1644124   .0693816     2.37   0.018     .0284271    .3003978
                 inc3 |   .3018725   .0630905     4.78   0.000     .1782174    .4255276
                 inc4 |   .5126439   .0511272    10.03   0.000     .4124364    .6128513
                 inc5 |   .5199933   .0989821     5.25   0.000     .3259919    .7139947
                 cit2 |  -.1027406   .0555861    -1.85   0.065    -.2116873    .0062062
                 cit3 |   -.115085   .0637504    -1.81   0.071    -.2400334    .0098634
                 cit4 |   -.114228   .0759914    -1.50   0.133    -.2631685    .0347125
          party_close |   .9724406   .0498965    19.49   0.000     .8746451    1.070236
             efficacy |   .3400428   .0246872    13.77   0.000     .2916568    .3884288
                      |
         Country_CSES |
      Czech Republic  |   .2761378   .2653787     1.04   0.298    -.2439949    .7962706
             Denmark  |   1.316694    .226205     5.82   0.000     .8733402    1.760047
             Estonia  |   .1374276   .2602624     0.53   0.597    -.3726772    .6475325
             Finland  |   .0478617   .2071095     0.23   0.817    -.3580654    .4537889
              France  |          0  (omitted)
              Greece  |   .1291031   .2219474     0.58   0.561    -.3059058    .5641119
             Hungary  |   .1027729   .2676416     0.38   0.701    -.4217951    .6273409
             Iceland  |   1.187056   .2137981     5.55   0.000     .7680199    1.606093
             Ireland  |   .4247671     .19009     2.23   0.025     .0521975    .7973367
              Latvia  |  -.1062039   .1610704    -0.66   0.510    -.4218962    .2094883
         Netherlands  |   1.102195   .2668661     4.13   0.000     .5791468    1.625243
              Norway  |   .4277754   .1914727     2.23   0.025     .0524957     .803055
              Poland  |  -.3000669   .1800946    -1.67   0.096    -.6530459    .0529121
            Portugal  |  -.0957327   .2086201    -0.46   0.646    -.5046205    .3131551
             Romania  |          0  (omitted)
            Slovakia  |   .2103736   .1986155     1.06   0.290    -.1789056    .5996528
            Slovenia  |   .6998183   .2510544     2.79   0.005     .2077607    1.191876
               Spain  |   .7873601   .2547214     3.09   0.002     .2881153    1.286605
              Sweden  |   .9106224   .2056747     4.43   0.000     .5075074    1.313737
                      |
                _cons |  -3.902675   .3437835   -11.35   0.000    -4.576479   -3.228872
----------------------+----------------------------------------------------------------
study_id_alp          |
            var(_cons)|   .0385506   .0241634                       .011285    .1316926
---------------------------------------------------------------------------------------

. matrix x = e(N_g) 

. estadd scalar N_years= x[1,1] // 

added scalar:
            e(N_years) =  64

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

. estadd local macro_controls "Yes", replace

added macro:
     e(macro_controls) : "Yes"

. estadd local micro_controls "Yes", replace

added macro:
     e(micro_controls) : "Yes"

. 
. cap set scheme bw // Setting the scheme, not necessary for running the script

. 
. margins, dydx(contact) at(index_n_w_5=(.0(.2)2.6)) 

Average marginal effects                                Number of obs = 75,183
Model VCE: Robust

Expression: Marginal predicted mean, predict()
dy/dx wrt:  1.contact 2.contact
1._at:  index_n_w_5 =   0
2._at:  index_n_w_5 =  .2
3._at:  index_n_w_5 =  .4
4._at:  index_n_w_5 =  .6
5._at:  index_n_w_5 =  .8
6._at:  index_n_w_5 =   1
7._at:  index_n_w_5 = 1.2
8._at:  index_n_w_5 = 1.4
9._at:  index_n_w_5 = 1.6
10._at: index_n_w_5 = 1.8
11._at: index_n_w_5 =   2
12._at: index_n_w_5 = 2.2
13._at: index_n_w_5 = 2.4
14._at: index_n_w_5 = 2.6

------------------------------------------------------------------------------
             |            Delta-method
             |      dy/dx   std. err.      z    P>|z|     [95% conf. interval]
-------------+----------------------------------------------------------------
0.contact    |  (base outcome)
-------------+----------------------------------------------------------------
1.contact    |
         _at |
          1  |   .0696514   .0142982     4.87   0.000     .0416274    .0976754
          2  |   .0658551   .0126788     5.19   0.000      .041005    .0907051
          3  |   .0615467   .0112963     5.45   0.000     .0394064     .083687
          4  |   .0567277   .0104138     5.45   0.000     .0363171    .0771384
          5  |   .0514047   .0103544     4.96   0.000     .0311105    .0716988
          6  |   .0455892   .0113234     4.03   0.000     .0233958    .0677827
          7  |   .0392986   .0132667     2.96   0.003     .0132963    .0653009
          8  |   .0325552   .0159728     2.04   0.042     .0012491    .0638612
          9  |   .0253868   .0192333     1.32   0.187    -.0123097    .0630833
         10  |   .0178265   .0228955     0.78   0.436    -.0270478    .0627008
         11  |   .0099123   .0268519     0.37   0.712    -.0427165     .062541
         12  |   .0016867   .0310221     0.05   0.957    -.0591155    .0624888
         13  |  -.0068035     .03534    -0.19   0.847    -.0760687    .0624617
         14  |  -.0155076   .0397472    -0.39   0.696    -.0934107    .0623954
-------------+----------------------------------------------------------------
2.contact    |
         _at |
          1  |  -.0218834   .0471221    -0.46   0.642    -.1142409    .0704742
          2  |  -.0227218   .0438448    -0.52   0.604    -.1086561    .0632126
          3  |  -.0235589   .0406402    -0.58   0.562    -.1032122    .0560944
          4  |  -.0243924   .0376393    -0.65   0.517     -.098164    .0493793
          5  |  -.0252195   .0350169    -0.72   0.471    -.0938515    .0434124
          6  |  -.0260379   .0329927    -0.79   0.430    -.0907023    .0386265
          7  |  -.0268447   .0318112    -0.84   0.399    -.0891934     .035504
          8  |  -.0276373   .0316915    -0.87   0.383    -.0897515     .034477
          9  |   -.028413   .0327571    -0.87   0.386    -.0926157    .0357897
         10  |  -.0291691   .0349938    -0.83   0.405    -.0977556    .0394174
         11  |  -.0299029   .0382711    -0.78   0.435    -.1049128    .0451071
         12  |  -.0306117   .0424035    -0.72   0.470    -.1137211    .0524977
         13  |  -.0312929   .0472044    -0.66   0.507    -.1238117    .0612259
         14  |   -.031944   .0525122    -0.61   0.543    -.1348659     .070978
------------------------------------------------------------------------------
Note: dy/dx for factor levels is the discrete change from the base level.

. 
. marginsplot, level(95) yline(0, lpattern(dash)) recast(line) recastci(rline)  xtitle("Index of Election Frequency (IEF)", margi
> n(small)) ///
>                  addplot(hist index_n_w_5 if contact!=., percent bin(7)  yaxis(2) yscale(axis(2) alt) xlabel(0(.2)2.6, grid) yl
> abel(-0.12(0.02)0.12) ///        
>                  yscale(range(0(10)100) axis(2)) ylabel(0(10)30, axis(2)) ///
>                  ytitle("Observations (%)", axis(2) margin(medsmall)))  plot2opts(lc(none)) ci2opts(lc(none))  ///  
>                 ytitle(" " "AME Contact", height(0) axis(1))  legend(off) title("") name(graph1, replace) scheme(bw)

Variables that uniquely identify margins: index_n_w_5 _deriv
(note: scheme bw not found, using s2color)

.                 
. graph export Figure_6.eps, replace 
file Figure_6.eps saved as EPS format

. 
. 
. esttab M1 M2 M3 M4 M5 using Table_4.tex, stats(macro_controls micro_controls fixed N N_years, labels("Macro-level controls" "In
> dividual-level controls" "Country FE" "N (individuals)" "N (elections)") layout("\multicolumn{1}{c}{@}" "\multicolumn{1}{c}{@}"
>  "\multicolumn{1}{c}{@}" "\multicolumn{1}{c}{$@$}" "\multicolumn{1}{c}{$@$}") f(0 0)) one incelldelimite("\:") replace b(2) se(
> 2) wide staraux ///  that goes in labels
>         star(+ 0.1 * 0.05 ** 0.01 *** 0.001)  drop(0.*  *.Country_CSES  Majority Closeness *.Elsystem   Joint1 snap  age c.age#
> c.age female educ* inc* cit* party_close efficacy) eqlabels(none) nodep  ///
>         order( index* 1.contact#c.index*   1.contact 2.contact#c.index* 2.contact   _cons  var(_cons[study_id_alp])) ///  
>  nolegend coeflabels(index_n_w_5  "IEF" 1.contact#c.index_n_w_5 "IEF X Contact-Yes" /// 
>  1.contact "Contact-Yes" 2.contact#c.index_n_w_5 "IEF X Contact-NA"  2.contact "Contact-NA" _cons "Constant" ///
> var(_cons[study_id_alp]) "Country-Year Variance", elist(_cons  \hline))  ///
> varwidth(24) nolegend note("") nomtitles alignment(d{10}) //  
(output written to Table_4.tex)

. 
. *************
. * Table A14 *
. *************
. *Full Table
. 
. esttab M1 M2 M3 M4 M5 using A_Table_14.tex, stats(fixed N N_years, labels("Country FE" "N (individuals)" "N (elections)") layou
> t("\multicolumn{1}{c}{@}" "\multicolumn{1}{c}{$@$}" "\multicolumn{1}{c}{$@$}") f(0 0)) one incelldelimite("\:") replace b(2) se
> (2) wide staraux ///  that goes in labels
>         star(* 0.05 ** 0.01 *** 0.001)  drop(  *.Country_CSES  )   eqlabels(none) nodep nobase ///
>         order( index* 1.contact#c.index*   1.contact 2.contact#c.index* 2.contact Majority Closeness 1.Elsystem 3.Elsystem ///
>         Joint1 snap age c.age#c.age female educ* inc* cit* party_close efficacy _cons  var(_cons[study_id_alp])) /// 
>  nolegend coeflabels(index_n_w_5  "IEF" 1.contact#c.index_n_w_5 "IEF X Contact-Yes" /// 
>  1.contact "Contact-Yes" 2.contact#c.index_n_w_5 "IEF X Contact-NA"  2.contact "Contact-NA" 1.Elsystem /// 
>  "Majoritarian" 3.Elsystem "Mixed" Joint1 "Concurrent Elections" snap "Snap Election" age "Age" c.age#c.age "Age^2" female "Fem
> ale" ///
>  educ2 "Education: Primary" educ3 "Education: Secondary" educ4 "Education: Post-Secondary"  educ5 "Education: University" /// 
>  inc2 "Income: Quintile 2" inc3 "Income: Quintile 3" inc4 "Income: Quintile 4" inc5 "Income: Quintile 5" ///
>  cit2 "Small/Mid-Sized Town"  cit3 "Suburb of a Large City" cit4 "Large City"  party_close "Close to a Party" efficacy /// 
>  "Efficacy" _cons "Constant" ///
> var(_cons[study_id_alp]) "Country-Year Variance", elist(_cons \hline))  ///
> varwidth(24) nolegend note("") nomtitles  alignment(d{10})
(output written to A_Table_14.tex)

.  
.  
. *************
. * Table A15 *
. ************* 
. 
. ***Robustness Checks
. tabstat index_n_w_5 if contact, by(Country) // Largest index_n_w_5 - Slovenia, smallest index_n_w_5 - Norway

Summary for variables: index_n_w_5
Group variable: Country (Country)

       Country |      Mean
---------------+----------
       Denmark |  .5570941
         Spain |  .9835507
       Finland |  .5259477
        France |  2.051381
        Greece |  .9094153
       Ireland |  .6354332
       Iceland |  .4826818
   Netherlands |  1.000586
        Norway |  .1703075
      Portugal |  .8629132
        Sweden |  .1741509
      Bulgaria |  .6712856
Czech Republic |  .5581875
       Estonia |   .444643
       Hungary |  .6527328
        Latvia |    .70914
        Poland |  .9130746
       Romania |  1.349078
      Slovakia |  1.680724
      Slovenia |  .6859255
---------------+----------
         Total |  .7276724
--------------------------

. 
. eststo clear

. *Without France
. eststo M1: melogit turnout c.index_n_w_5##i.contact  Majority Closeness ib2.Elsystem  Joint1 snap c.age c.age##c.age  female ed
> uc2-educ5 inc2-inc5 cit2-cit4 party efficacy i.Country_CSES [pw=final_weight] if Country_CSES !=16 & filter==1 || study_id_alp:
>  
note: 41.Country_CSES omitted because of collinearity.

Fitting fixed-effects model:

Iteration 0:   log likelihood = -37545.296  
Iteration 1:   log likelihood =  -37340.48  
Iteration 2:   log likelihood = -37340.281  
Iteration 3:   log likelihood = -37340.281  

Refining starting values:

Grid node 0:   log likelihood = -37334.832

Fitting full model:

Iteration 0:   log pseudolikelihood = -37334.832  (not concave)
Iteration 1:   log pseudolikelihood = -37297.848  (not concave)
Iteration 2:   log pseudolikelihood = -37260.381  (not concave)
Iteration 3:   log pseudolikelihood = -37255.108  
Iteration 4:   log pseudolikelihood = -37247.518  
Iteration 5:   log pseudolikelihood = -37247.046  
Iteration 6:   log pseudolikelihood =  -37247.04  
Iteration 7:   log pseudolikelihood =  -37247.04  

Mixed-effects logistic regression               Number of obs     =     73,328
Group variable: study_id_alp                    Number of groups  =         63

                                                Obs per group:
                                                              min =        504
                                                              avg =    1,163.9
                                                              max =      2,180

Integration method: mvaghermite                 Integration pts.  =          7

                                                Wald chi2(43)     =   9.74e+08
Log pseudolikelihood = -37247.04                Prob > chi2       =     0.0000
                                   (Std. err. adjusted for 63 clusters in study_id_alp)
---------------------------------------------------------------------------------------
                      |               Robust
              turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
----------------------+----------------------------------------------------------------
          index_n_w_5 |  -.3490717   .1223345    -2.85   0.004    -.5888429   -.1093004
                      |
              contact |
                 Yes  |   .5073245   .1086467     4.67   0.000     .2943808    .7202682
             missing  |  -.1443071   .3144238    -0.46   0.646    -.7605664    .4719523
                      |
contact#c.index_n_w_5 |
                 Yes  |  -.2278994   .1086208    -2.10   0.036    -.4407922   -.0150065
             missing  |  -.0108871   .1789167    -0.06   0.951    -.3615574    .3397832
                      |
             Majority |  -.0055913   .0088354    -0.63   0.527    -.0229083    .0117258
            Closeness |  -.0083424   .0069869    -1.19   0.232    -.0220364    .0053516
                      |
             Elsystem |
               Mixed  |  -.1495373   .2249958    -0.66   0.506    -.5905209    .2914463
               Joint1 |   .4612956   .4509939     1.02   0.306    -.4226361    1.345227
                 snap |    .191775   .0696925     2.75   0.006     .0551802    .3283697
                  age |   .0921235   .0075063    12.27   0.000     .0774114    .1068357
                      |
          c.age#c.age |  -.0007048   .0000719    -9.81   0.000    -.0008457    -.000564
                      |
               female |   .0193599   .0325371     0.60   0.552    -.0444117    .0831314
                educ2 |   .2837048   .1221377     2.32   0.020     .0443193    .5230902
                educ3 |    .600894   .1389642     4.32   0.000     .3285292    .8732588
                educ4 |   .6458068   .1245775     5.18   0.000     .4016394    .8899742
                educ5 |   1.105076   .1517426     7.28   0.000     .8076657    1.402486
                 inc2 |   .1848697   .0711324     2.60   0.009     .0454527    .3242866
                 inc3 |     .32701   .0620377     5.27   0.000     .2054184    .4486015
                 inc4 |   .5256942   .0521748    10.08   0.000     .4234335     .627955
                 inc5 |   .5267601   .1033368     5.10   0.000     .3242237    .7292964
                 cit2 |  -.0676232   .0445221    -1.52   0.129    -.1548849    .0196385
                 cit3 |  -.0814325   .0561985    -1.45   0.147    -.1915795    .0287145
                 cit4 |  -.0626961   .0605224    -1.04   0.300    -.1813179    .0559256
          party_close |   .9920352   .0488715    20.30   0.000     .8962488    1.087822
             efficacy |   .3447339   .0252097    13.67   0.000     .2953237    .3941441
                      |
         Country_CSES |
      Czech Republic  |   .2758147   .2674474     1.03   0.302    -.2483727     .800002
             Denmark  |   1.312668   .2276555     5.77   0.000     .8664709    1.758864
             Estonia  |   .1430954   .2643441     0.54   0.588    -.3750096    .6612004
             Finland  |   .0406514   .2100394     0.19   0.847    -.3710183     .452321
              Greece  |   .1217004   .2187281     0.56   0.578    -.3069988    .5503995
             Hungary  |   .1009052   .2705256     0.37   0.709    -.4293152    .6311257
             Iceland  |   1.178174   .2146527     5.49   0.000     .7574624    1.598885
             Ireland  |    .423893    .191082     2.22   0.027     .0493792    .7984068
              Latvia  |  -.1102854   .1603781    -0.69   0.492    -.4246207    .2040498
         Netherlands  |   1.102529   .2703015     4.08   0.000     .5727477     1.63231
              Norway  |   .4210433   .1927448     2.18   0.029     .0432704    .7988162
              Poland  |  -.2970604    .179237    -1.66   0.097    -.6483583    .0542376
            Portugal  |  -.1013532   .2079605    -0.49   0.626    -.5089483     .306242
             Romania  |          0  (omitted)
            Slovakia  |   .2140366   .1991942     1.07   0.283     -.176377    .6044501
            Slovenia  |   .7042628   .2529912     2.78   0.005     .2084092    1.200116
               Spain  |   .7813665   .2565102     3.05   0.002     .2786158    1.284117
              Sweden  |   .9022646   .2062201     4.38   0.000     .4980807    1.306448
                      |
                _cons |  -3.954575   .3469637   -11.40   0.000    -4.634611   -3.274538
----------------------+----------------------------------------------------------------
study_id_alp          |
            var(_cons)|   .0397229   .0253793                      .0113554     .138957
---------------------------------------------------------------------------------------

. matrix x = e(N_g)

. estadd scalar N_years= x[1,1] // 

added scalar:
            e(N_years) =  63

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

. 
. *Without Norway
. eststo M2: melogit turnout c.index_n_w_5##i.contact  Majority Closeness ib2.Elsystem  Joint1 snap c.age c.age##c.age female edu
> c2-educ5 inc2-inc5 cit2-cit4 party efficacy i.Country_CSES [pw=final_weight] if Country_CSES !=35 & filter==1 || study_id_alp: 
>  
note: 16.Country_CSES omitted because of collinearity.
note: 41.Country_CSES omitted because of collinearity.

Fitting fixed-effects model:

Iteration 0:   log likelihood = -34968.983  
Iteration 1:   log likelihood = -34796.847  
Iteration 2:   log likelihood = -34796.674  
Iteration 3:   log likelihood = -34796.674  

Refining starting values:

Grid node 0:   log likelihood = -34787.986

Fitting full model:

Iteration 0:   log pseudolikelihood = -34787.986  (not concave)
Iteration 1:   log pseudolikelihood = -34753.949  (not concave)
Iteration 2:   log pseudolikelihood = -34719.342  (not concave)
Iteration 3:   log pseudolikelihood = -34713.705  
Iteration 4:   log pseudolikelihood = -34705.116  
Iteration 5:   log pseudolikelihood = -34704.608  
Iteration 6:   log pseudolikelihood =   -34704.6  
Iteration 7:   log pseudolikelihood = -34704.599  

Mixed-effects logistic regression               Number of obs     =     66,650
Group variable: study_id_alp                    Number of groups  =         59

                                                Obs per group:
                                                              min =        504
                                                              avg =    1,129.7
                                                              max =      2,180

Integration method: mvaghermite                 Integration pts.  =          7

                                                Wald chi2(42)     =          .
Log pseudolikelihood = -34704.599               Prob > chi2       =          .
                                   (Std. err. adjusted for 59 clusters in study_id_alp)
---------------------------------------------------------------------------------------
                      |               Robust
              turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
----------------------+----------------------------------------------------------------
          index_n_w_5 |  -.3756675    .162282    -2.31   0.021    -.6937344   -.0576005
                      |
              contact |
                 Yes  |    .600905   .1263467     4.76   0.000     .3532701    .8485399
             missing  |  -.2230967   .4244595    -0.53   0.599    -1.055022    .6088286
                      |
contact#c.index_n_w_5 |
                 Yes  |  -.3022605    .117833    -2.57   0.010     -.533209   -.0713121
             missing  |   .0406209   .2468747     0.16   0.869    -.4432447    .5244864
                      |
             Majority |  -.0072199    .009839    -0.73   0.463    -.0265039    .0120641
            Closeness |  -.0130402   .0074827    -1.74   0.081     -.027706    .0016256
                      |
             Elsystem |
        Majoritarian  |   .3557114   .2795785     1.27   0.203    -.1922525    .9036752
               Mixed  |   .0141841   .2598689     0.05   0.956    -.4951497    .5235178
                      |
               Joint1 |   .4673058   .4638586     1.01   0.314    -.4418404    1.376452
                 snap |   .2000036   .0757053     2.64   0.008     .0516239    .3483833
                  age |   .0918941   .0075315    12.20   0.000     .0771326    .1066557
                      |
          c.age#c.age |  -.0007068   .0000718    -9.84   0.000    -.0008475   -.0005661
                      |
               female |  -.0057741   .0338167    -0.17   0.864    -.0720537    .0605055
                educ2 |   .3019832   .1109364     2.72   0.006     .0845519    .5194146
                educ3 |   .6286403   .1262383     4.98   0.000     .3812177     .876063
                educ4 |   .6780157   .1159275     5.85   0.000     .4508021    .9052294
                educ5 |   1.085128   .1412364     7.68   0.000     .8083094    1.361946
                 inc2 |   .1492567   .0743724     2.01   0.045     .0034895    .2950239
                 inc3 |   .2781587   .0646831     4.30   0.000      .151382    .4049353
                 inc4 |   .4711003   .0503019     9.37   0.000     .3725103    .5696902
                 inc5 |   .4606001   .1010075     4.56   0.000     .2626291    .6585712
                 cit2 |  -.1150695   .0607567    -1.89   0.058    -.2341504    .0040113
                 cit3 |  -.1398818   .0694625    -2.01   0.044    -.2760259   -.0037378
                 cit4 |  -.1709845   .0778514    -2.20   0.028    -.3235705   -.0183985
          party_close |     1.0188   .0526256    19.36   0.000     .9156556    1.121944
             efficacy |   .3435496   .0259442    13.24   0.000     .2926999    .3943994
                      |
         Country_CSES |
      Czech Republic  |   .2836393   .2749636     1.03   0.302    -.2552796    .8225581
             Denmark  |   1.316678   .2359364     5.58   0.000     .8542516    1.779105
             Estonia  |   .1837027   .3013226     0.61   0.542    -.4068788    .7742842
             Finland  |   .0480309    .210636     0.23   0.820     -.364808    .4608698
              France  |          0  (omitted)
              Greece  |   .1289773   .2248416     0.57   0.566    -.3117042    .5696588
             Hungary  |     -.0981   .2875306    -0.34   0.733    -.6616497    .4654496
             Iceland  |   1.204125   .2281163     5.28   0.000     .7570252    1.651225
             Ireland  |   .4711096   .2073162     2.27   0.023     .0647773    .8774418
              Latvia  |  -.1154579   .1520782    -0.76   0.448    -.4135256    .1826099
         Netherlands  |   1.131809   .2844518     3.98   0.000     .5742936    1.689324
              Poland  |  -.2796636   .1858468    -1.50   0.132    -.6439167    .0845895
            Portugal  |  -.1124027   .2104275    -0.53   0.593     -.524833    .3000275
             Romania  |          0  (omitted)
            Slovakia  |   .2500781   .2160582     1.16   0.247    -.1733881    .6735443
            Slovenia  |   .7381054   .2860812     2.58   0.010     .1773966    1.298814
               Spain  |   .7907445   .2649633     2.98   0.003      .271426    1.310063
              Sweden  |   .9483546   .2165519     4.38   0.000     .5239206    1.372789
                      |
                _cons |  -3.769738   .3832583    -9.84   0.000     -4.52091   -3.018565
----------------------+----------------------------------------------------------------
study_id_alp          |
            var(_cons)|   .0458905    .034751                      .0104026    .2024428
---------------------------------------------------------------------------------------

. matrix x = e(N_g)

. estadd scalar N_years= x[1,1] // 

added scalar:
            e(N_years) =  59

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

. 
. *Only for non-missing contact
. eststo M3: melogit turnout c.index_n_w_5##i.contact  Majority Closeness ib2.Elsystem  Joint1 snap c.age c.age##c.age female edu
> c2-educ5 inc2-inc5 cit2-cit4 party efficacy i.Country_CSES [pw=final_weight] if contact!=2 & filter==1 || study_id_alp:  
note: 41.Country_CSES omitted because of collinearity.

Fitting fixed-effects model:

Iteration 0:   log likelihood = -17883.621  
Iteration 1:   log likelihood = -17814.833  
Iteration 2:   log likelihood = -17814.744  
Iteration 3:   log likelihood = -17814.744  

Refining starting values:

Grid node 0:   log likelihood = -17841.343

Fitting full model:

Iteration 0:   log pseudolikelihood = -17841.343  (not concave)
Iteration 1:   log pseudolikelihood = -17821.817  (not concave)
Iteration 2:   log pseudolikelihood = -17802.993  (not concave)
Iteration 3:   log pseudolikelihood = -17799.403  
Iteration 4:   log pseudolikelihood = -17798.458  
Iteration 5:   log pseudolikelihood = -17798.337  
Iteration 6:   log pseudolikelihood = -17798.337  

Mixed-effects logistic regression               Number of obs     =     33,199
Group variable: study_id_alp                    Number of groups  =         31

                                                Obs per group:
                                                              min =        499
                                                              avg =    1,070.9
                                                              max =      1,995

Integration method: mvaghermite                 Integration pts.  =          7

                                                Wald chi2(30)     =          .
Log pseudolikelihood = -17798.337               Prob > chi2       =          .
                                   (Std. err. adjusted for 31 clusters in study_id_alp)
---------------------------------------------------------------------------------------
                      |               Robust
              turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
----------------------+----------------------------------------------------------------
          index_n_w_5 |    -.05348   .1104512    -0.48   0.628    -.2699604    .1630003
                      |
              contact |
                 Yes  |   .5210688   .1103983     4.72   0.000     .3046922    .7374454
                      |
contact#c.index_n_w_5 |
                 Yes  |  -.2390163   .1128306    -2.12   0.034    -.4601601   -.0178725
                      |
             Majority |   .0107737   .0127024     0.85   0.396    -.0141226      .03567
            Closeness |   .0002449   .0089639     0.03   0.978    -.0173241    .0178138
                      |
             Elsystem |
               Mixed  |  -.4124091   .2868479    -1.44   0.151    -.9746206    .1498024
               Joint1 |  -.0942644   .1952547    -0.48   0.629    -.4769567    .2884279
                 snap |   .0588752    .100022     0.59   0.556    -.1371643    .2549146
                  age |   .1000469    .012819     7.80   0.000      .074922    .1251717
                      |
          c.age#c.age |  -.0007788   .0001178    -6.61   0.000    -.0010097    -.000548
                      |
               female |   .0510454   .0499741     1.02   0.307    -.0469021    .1489929
                educ2 |   .4649694   .1861383     2.50   0.012      .100145    .8297938
                educ3 |   .6938813   .2136469     3.25   0.001      .275141    1.112622
                educ4 |   .7533016   .1913291     3.94   0.000     .3783035      1.1283
                educ5 |   1.202994   .2256221     5.33   0.000     .7607829    1.645205
                 inc2 |    .173275   .1265356     1.37   0.171    -.0747302    .4212801
                 inc3 |   .2916436   .1004099     2.90   0.004     .0948438    .4884434
                 inc4 |    .522721   .0817268     6.40   0.000     .3625395    .6829025
                 inc5 |   .4083223   .1764765     2.31   0.021     .0624348    .7542097
                 cit2 |  -.0928511   .0540841    -1.72   0.086     -.198854    .0131518
                 cit3 |   .0175865   .0977856     0.18   0.857    -.1740698    .2092427
                 cit4 |  -.1015416   .0868419    -1.17   0.242    -.2717486    .0686654
          party_close |   .9466164   .0752254    12.58   0.000     .7991773    1.094055
             efficacy |   .3087805   .0374227     8.25   0.000     .2354334    .3821276
                      |
         Country_CSES |
      Czech Republic  |  -.1146787   .1967541    -0.58   0.560    -.5003097    .2709523
             Denmark  |   1.338445   .2136713     6.26   0.000     .9196573    1.757233
             Finland  |    .358952   .2885722     1.24   0.214    -.2066391    .9245431
              Greece  |   .0744161    .211859     0.35   0.725    -.3408199    .4896521
             Hungary  |   .8847199   .4911814     1.80   0.072    -.0779778    1.847418
             Iceland  |   1.196529    .293934     4.07   0.000     .6204285    1.772629
             Ireland  |   .5866409   .1963603     2.99   0.003     .2017819       .9715
              Latvia  |  -.1328227   .1744793    -0.76   0.447    -.4747958    .2091504
              Norway  |   .5262599   .1926088     2.73   0.006     .1487536    .9037662
              Poland  |  -.2985092   .2036107    -1.47   0.143    -.6975788    .1005605
            Portugal  |   .1237223   .2887075     0.43   0.668     -.442134    .6895786
             Romania  |          0  (omitted)
            Slovakia  |  -.0130362     .18325    -0.07   0.943    -.3721997    .3461272
            Slovenia  |   .3308749   .2070857     1.60   0.110    -.0750056    .7367555
               Spain  |   .8040647   .2821212     2.85   0.004     .2511173    1.357012
              Sweden  |   .9478427   .2146568     4.42   0.000     .5271232    1.368562
                      |
                _cons |  -4.762456   .5464726    -8.71   0.000    -5.833523    -3.69139
----------------------+----------------------------------------------------------------
study_id_alp          |
            var(_cons)|   .0168461   .0066151                      .0078028    .0363703
---------------------------------------------------------------------------------------

. matrix x = e(N_g)

. estadd scalar N_years= x[1,1] // 

added scalar:
            e(N_years) =  31

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

.  
. *With random slopes
. eststo M4: melogit turnout c.index_n_w_5##i.contact  Majority Closeness ib2.Elsystem  Joint1 snap  c.age c.age##c.age female ed
> uc2-educ5  inc2-inc5 cit2-cit4 party efficacy i.Country_CSES [pw=weight_turnout] if   filter==1 & contact!=2 || study_id_alp: i
> .contact, 
note: 41.Country_CSES omitted because of collinearity.

Fitting fixed-effects model:

Iteration 0:   log likelihood =   -16784.1  
Iteration 1:   log likelihood = -16707.878  
Iteration 2:   log likelihood = -16707.788  
Iteration 3:   log likelihood = -16707.788  

Refining starting values:

Grid node 0:   log likelihood =  -16748.52

Fitting full model:

Iteration 0:   log pseudolikelihood =  -16748.52  (not concave)
Iteration 1:   log pseudolikelihood = -16714.176  (not concave)
Iteration 2:   log pseudolikelihood = -16697.658  (not concave)
Iteration 3:   log pseudolikelihood = -16689.542  (not concave)
Iteration 4:   log pseudolikelihood =  -16686.54  
Iteration 5:   log pseudolikelihood = -16685.891  
Iteration 6:   log pseudolikelihood = -16684.652  
Iteration 7:   log pseudolikelihood = -16684.531  
Iteration 8:   log pseudolikelihood = -16684.531  

Mixed-effects logistic regression               Number of obs     =     33,257
Group variable: study_id_alp                    Number of groups  =         31

                                                Obs per group:
                                                              min =        499
                                                              avg =    1,072.8
                                                              max =      1,995

Integration method: mvaghermite                 Integration pts.  =          7

                                                Wald chi2(30)     =          .
Log pseudolikelihood = -16684.531               Prob > chi2       =          .
                                   (Std. err. adjusted for 31 clusters in study_id_alp)
---------------------------------------------------------------------------------------
                      |               Robust
              turnout | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
----------------------+----------------------------------------------------------------
          index_n_w_5 |    .006078   .1061433     0.06   0.954    -.2019591    .2141151
                      |
              contact |
                 Yes  |    .583471    .114911     5.08   0.000     .3582495    .8086925
                      |
contact#c.index_n_w_5 |
                 Yes  |  -.1986009   .0845044    -2.35   0.019    -.3642264   -.0329754
                      |
             Majority |   .0042891   .0122714     0.35   0.727    -.0197624    .0283407
            Closeness |  -.0030178   .0088469    -0.34   0.733    -.0203574    .0143218
                      |
             Elsystem |
               Mixed  |  -.4471718    .264709    -1.69   0.091    -.9659919    .0716482
               Joint1 |  -.2797616   .1687542    -1.66   0.097    -.6105138    .0509906
                 snap |  -.0184748   .0926386    -0.20   0.842    -.2000432    .1630935
                  age |   .0915803    .009837     9.31   0.000     .0723002    .1108604
                      |
          c.age#c.age |  -.0007167   .0001005    -7.13   0.000    -.0009137   -.0005196
                      |
               female |   .0258709   .0428865     0.60   0.546    -.0581851    .1099268
                educ2 |   .2683506   .0909045     2.95   0.003     .0901812    .4465201
                educ3 |   .4949823   .1092288     4.53   0.000     .2808978    .7090668
                educ4 |   .6432691   .1194918     5.38   0.000     .4090695    .8774688
                educ5 |   .9716343   .1215216     8.00   0.000     .7334564    1.209812
                 inc2 |   .2203589   .0593352     3.71   0.000     .1040641    .3366538
                 inc3 |   .3484733   .0680021     5.12   0.000     .2151917    .4817549
                 inc4 |   .5266018   .0785156     6.71   0.000     .3727141    .6804895
                 inc5 |   .5130072     .11394     4.50   0.000     .2896889    .7363255
                 cit2 |  -.0755111   .0552733    -1.37   0.172    -.1838448    .0328226
                 cit3 |  -.0243768   .0757158    -0.32   0.747    -.1727771    .1240234
                 cit4 |  -.0923138   .0790315    -1.17   0.243    -.2472126    .0625851
          party_close |   .9505371   .0756002    12.57   0.000     .8023633    1.098711
             efficacy |   .3276772   .0352922     9.28   0.000     .2585058    .3968486
                      |
         Country_CSES |
      Czech Republic  |  -.1273351   .1705836    -0.75   0.455    -.4616727    .2070026
             Denmark  |   1.174581   .1922114     6.11   0.000     .7978536    1.551308
             Finland  |   .3332095   .3131239     1.06   0.287     -.280502    .9469211
              Greece  |   .0369696       .177     0.21   0.835     -.309944    .3838831
             Hungary  |   .7560728   .4913473     1.54   0.124    -.2069503    1.719096
             Iceland  |   1.088481   .2483066     4.38   0.000     .6018091    1.575153
             Ireland  |   .5739187   .1761231     3.26   0.001     .2287238    .9191136
              Latvia  |  -.1188823   .1517121    -0.78   0.433    -.4162325    .1784679
              Norway  |   .6803334   .2138838     3.18   0.001     .2611288    1.099538
              Poland  |  -.5193578   .1751061    -2.97   0.003    -.8625595   -.1761561
            Portugal  |  -.0148781   .2717695    -0.05   0.956    -.5475364    .5177803
             Romania  |          0  (omitted)
            Slovakia  |  -.1192344   .1681694    -0.71   0.478    -.4488403    .2103716
            Slovenia  |   .1960576   .1792763     1.09   0.274    -.1553175    .5474327
               Spain  |   .5772784   .2551233     2.26   0.024      .077246    1.077311
              Sweden  |    .883046    .189936     4.65   0.000     .5107782    1.255314
                      |
                _cons |  -4.246681   .5022511    -8.46   0.000    -5.231075   -3.262287
----------------------+----------------------------------------------------------------
study_id_alp          |
        var(1.contact)|   .0569025   .0208329                      .0277647    .1166191
            var(_cons)|   .0144284   .0064619                      .0059978    .0347088
---------------------------------------------------------------------------------------

. matrix x = e(N_g)

. estadd scalar N_years= x[1,1] // 

added scalar:
            e(N_years) =  31

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

.  
. esttab M1 M2 M3 M4 using A_Table_15.tex, stats(fixed N N_years, labels("Country FE" "N (individuals)" "N (elections)") layout("
> \multicolumn{1}{c}{@}" "\multicolumn{1}{c}{$@$}" "\multicolumn{1}{c}{$@$}") f(0 0)) one incelldelimite("\:")  replace b(2) se(2
> ) wide staraux /// 
>         star(* 0.05 ** 0.01 *** 0.001)  drop(*.Country_CSES)   eqlabels(none) nobase nodep  ///
>         order( index* 1.contact#c.index*   1.contact 2.contact#c.index* 2.contact Majority Closeness 1.Elsystem 3.Elsystem ///
>         Joint1 snap age c.age#c.age female educ* inc* cit* party_close efficacy _cons  var(_cons[study_id_alp]) var(1.contact[s
> tudy_id_alp]) ) ///  
>  nolegend coeflabels(index_n_w_5  "IEF" 1.contact#c.index_n_w_5 "IEF X Contact: Yes" /// 
>  1.contact "Contact: Yes" 2.contact#c.index_n_w_5 "IEF X Contact: NA"  2.contact "Contact: NA" 1.Elsystem /// 
>  "Majoritarian" 3.Elsystem "Mixed" Joint1 "Concurrent Elections" snap "Snap Election"  age "Age" c.age#c.age "Age^2" female "Fe
> male" ///
>  educ2 "Education: Primary" educ3 "Education: Secondary" educ4 "Education: Post-Secondary"  educ5 "Education: University" /// 
>  inc2 "Income: Quintile 2" inc3 "Income: Quintile 3" inc4 "Income: Quintile 4" inc5 "Income: Quintile 5" ///
>  cit2 "Small/Mid-Sized Town"  cit3 "Suburb of a Large City" cit4 "Large City"  party_close "Close to a Party" efficacy "Efficac
> y" _cons "Constant" ///
> var(_cons[study_id_alp]) "Country-Year Variance" var(1.contact[study_id_alp]) "Contact Variance" , elist(_cons  \hline))  ///
> varwidth(24) nolegend note("") mtitles( "\shortstack{\\W/t France}" "\shortstack{\\W/t Norway}" "\shortstack{\\W/t Contact: NA}
> " "\shortstack{\\Random Slope}") alignment(d{10})
(output written to A_Table_15.tex)

. 
. *************
. * Table A13 *
. ************* 
. 
. *Desriptive statistics (Table)
. tab contact, gen(conti)

  RECODE of |
      B3003 |
 (CONTACTED |
         BY |
  CANDIDATE |
   OR PARTY |
     DURING |
  CAMPAIGN) |      Freq.     Percent        Cum.
------------+-----------------------------------
         No |     36,215       35.17       35.17
        Yes |      9,516        9.24       44.41
    missing |     57,236       55.59      100.00
------------+-----------------------------------
      Total |    102,967      100.00

. tab Elsystem, gen(elsys)

   Electoral |
      system |      Freq.     Percent        Cum.
-------------+-----------------------------------
Majoritarian |      2,000        1.94        1.94
Proportional |     95,959       93.19       95.14
       Mixed |      5,008        4.86      100.00
-------------+-----------------------------------
       Total |    102,967      100.00

. lab var Joint1 "Concurrent Elections"

. lab var elsys1 "Majoritarian"

. lab var elsys2 "Proportional"

. lab var elsys3 "Mixed"

. lab var snap "Snap Election"

. lab var  turnout "Turnout" 

. lab var  index_n_w_5  "IEF" 

. lab var  conti1 "Contact: No"

. lab var  conti2 "Contact: Yes"

. lab var  conti3 "Contact: NA"

. lab var  age "Age" 

. lab var  female "Female" 

. lab var educ1 "No Education" 

. lab var educ2 "Education: Primary" 

. lab var educ3 "Education: Secondary" 

. lab var educ4 "Education: Post-Secondary" 

. lab var educ5 "Education: University" 

. lab var inc1 "Income: Quintile 1" 

. lab var inc2 "Income: Quintile 2" 

. lab var inc3 "Income: Quintile 3" 

. lab var inc4 "Income: Quintile 4" 

. lab var inc5 "Income: Quintile 5" 

. lab var cit1 "Rural Area or Village"

. lab var cit2 "Small/Mid-Sized Town"  

. lab var cit3 "Suburb of a Large City" 

. lab var cit4 "Large City"  

. lab var party_close "Close to a Party" 

. lab var efficacy "Efficacy"

.  
. estpost tabstat turnout index_n_w_5 conti1 conti2 conti3  Majority Closeness  elsys1  elsys2  elsys3 Joint1 snap age female edu
> c1 educ2 educ3 educ4 educ5 inc1 inc2 inc3 inc4 inc5 cit1 cit2 cit3 cit4 party_close efficacy [aw=final_weight] if filter==1 , s
> tat(count mean sd min max ) c(s)   // format(%9.2f) labelwidth(32)

Summary statistics: count mean sd min max
     for variables: turnout index_n_w_5 conti1 conti2 conti3 Majority Closeness elsys1 elsys2 elsys3 Joint1 snap age female educ1
>  educ2 educ3 educ4 educ5 inc1 inc2 inc3 inc4 inc5 cit1 cit2 cit3 cit4 party_close efficacy

             |  e(count)    e(mean)      e(sd)     e(min)     e(max) 
-------------+-------------------------------------------------------
     turnout |     75183    .700247   .4581527          0          1 
 index_n_w_5 |     75183   .7793971   .5382721   .0570317   2.460994 
      conti1 |     75183   .3494587   .4768022          0          1 
      conti2 |     75183   .0940127   .2918483          0          1 
      conti3 |     75183   .5565286   .4967975          0          1 
    Majority |     75183   17.07366   7.200174        4.8       31.8 
   Closeness |     75183   8.822113   7.951016         .2      42.12 
      elsys1 |     75183   .0280567   .1651361          0          1 
      elsys2 |     75183   .9241323   .2647881          0          1 
      elsys3 |     75183    .047811   .2133675          0          1 
      Joint1 |     75183   .0330504   .1787693          0          1 
        snap |     75183   .2237084   .4167316          0          1 
         age |     75183   45.62453   17.35852         17        100 
      female |     75183   .5066948   .4999585          0          1 
       educ1 |     75183   .0466702   .2109328          0          1 
       educ2 |     75183   .3718149   .4832925          0          1 
       educ3 |     75183   .2776542   .4478449          0          1 
       educ4 |     75183   .1310979   .3375096          0          1 
       educ5 |     75183   .1727629   .3780447          0          1 
        inc1 |     75183   .2037115   .4027596          0          1 
        inc2 |     75183   .2172382   .4123688          0          1 
        inc3 |     75183   .2164765   .4118455          0          1 
        inc4 |     75183   .1868675   .3898077          0          1 
        inc5 |     75183   .1757063   .3805726          0          1 
        cit1 |     75183    .264482   .4410599          0          1 
        cit2 |     75183   .2834309   .4506668          0          1 
        cit3 |     75183    .178631   .3830456          0          1 
        cit4 |     75183   .2734561   .4457359          0          1 
 party_close |     75183   .4109682   .4920128          0          1 
    efficacy |     75183   3.795028   1.244986          1          5 

. 
. esttab . using A_Table_13.tex, replace cells("count(fmt(%9.0f)) mean(fmt(%9.2f)) sd(fmt(%9.2f)) min(fmt(%9.2f)) max(fmt(%9.2f))
> "  ) label varwidth(30) noobs ///
> collabels("N" "Mean" "SD" "Min" "Max") nodep nonumb nomti modelwidth(6)  
(output written to A_Table_13.tex)

.         
. *************
. * Table A16 *
. ************* 
. 
. eststo clear            

. eststo M1: melogit contact c.index_n_w_5 i.Country_CSES [pw=final_weight] if filter==1 & contact!=2 || study_id_alp: , 

Fitting fixed-effects model:

Iteration 0:   log likelihood = -15596.923  
Iteration 1:   log likelihood = -15493.155  
Iteration 2:   log likelihood = -15491.875  
Iteration 3:   log likelihood = -15491.873  

Refining starting values:

Grid node 0:   log likelihood = -15431.128

Fitting full model:

Iteration 0:   log pseudolikelihood = -15431.128  (not concave)
Iteration 1:   log pseudolikelihood = -15416.224  (not concave)
Iteration 2:   log pseudolikelihood = -15410.622  (not concave)
Iteration 3:   log pseudolikelihood = -15406.057  
Iteration 4:   log pseudolikelihood = -15405.102  
Iteration 5:   log pseudolikelihood =  -15404.96  
Iteration 6:   log pseudolikelihood = -15404.959  

Mixed-effects logistic regression               Number of obs     =     33,199
Group variable: study_id_alp                    Number of groups  =         31

                                                Obs per group:
                                                              min =        499
                                                              avg =    1,070.9
                                                              max =      1,995

Integration method: mvaghermite                 Integration pts.  =          7

                                                Wald chi2(15)     =          .
Log pseudolikelihood = -15404.959               Prob > chi2       =          .
                             (Std. err. adjusted for 31 clusters in study_id_alp)
---------------------------------------------------------------------------------
                |               Robust
        contact | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
----------------+----------------------------------------------------------------
    index_n_w_5 |   .2220507   .1495487     1.48   0.138    -.0710593    .5151607
                |
   Country_CSES |
Czech Republic  |   1.624018   .2362377     6.87   0.000        1.161    2.087035
       Denmark  |   1.500149   .1574571     9.53   0.000     1.191538    1.808759
       Finland  |   1.327666   .1638617     8.10   0.000     1.006502    1.648829
        Greece  |   2.115941   .1582176    13.37   0.000      1.80584    2.426041
       Hungary  |   .2779666   .1816853     1.53   0.126    -.0781301    .6340633
       Iceland  |   1.798193   .1544976    11.64   0.000     1.495383    2.101003
       Ireland  |   2.696498   .1978914    13.63   0.000     2.308638    3.084358
        Latvia  |   .4945396   .2738862     1.81   0.071    -.0422675    1.031347
        Norway  |    1.43195   .3243817     4.41   0.000     .7961735    2.067726
        Poland  |  -.2250327   .1545157    -1.46   0.145    -.5278778    .0778125
      Portugal  |   .6959767   .2698809     2.58   0.010     .1670198    1.224934
       Romania  |   .2726633   .1933724     1.41   0.159    -.1063397    .6516663
      Slovakia  |   2.521021    .169244    14.90   0.000     2.189308    2.852733
      Slovenia  |   .2147785   .4249119     0.51   0.613    -.6180336    1.047591
         Spain  |  -.1849288   .1531358    -1.21   0.227    -.4850694    .1152119
        Sweden  |   .8327402   .4687784     1.78   0.076    -.0860487    1.751529
                |
          _cons |  -2.805922   .1890067   -14.85   0.000    -3.176368   -2.435476
----------------+----------------------------------------------------------------
study_id_alp    |
      var(_cons)|   .0629251   .0203412                      .0333937    .1185724
---------------------------------------------------------------------------------

. matrix x = e(N_g)

. estadd scalar N_years= x[1,1] // 

added scalar:
            e(N_years) =  31

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

. estadd local macro_controls "No", replace

added macro:
     e(macro_controls) : "No"

. estadd local micro_controls "No", replace

added macro:
     e(micro_controls) : "No"

. 
. eststo M2: melogit contact c.index_n_w_5 Majority Closeness ib2.Elsystem    Joint1 snap i.Country_CSES [pw=final_weight] if fil
> ter==1 & contact!=2  || study_id_alp:  , 
note: 41.Country_CSES omitted because of collinearity.

Fitting fixed-effects model:

Iteration 0:   log likelihood = -15584.238  
Iteration 1:   log likelihood = -15474.046  
Iteration 2:   log likelihood = -15472.467  
Iteration 3:   log likelihood = -15472.465  
Iteration 4:   log likelihood = -15472.465  

Refining starting values:

Grid node 0:   log likelihood = -15431.075

Fitting full model:

Iteration 0:   log pseudolikelihood = -15431.075  (not concave)
Iteration 1:   log pseudolikelihood = -15416.154  (not concave)
Iteration 2:   log pseudolikelihood = -15404.131  
Iteration 3:   log pseudolikelihood = -15403.528  
Iteration 4:   log pseudolikelihood = -15403.494  
Iteration 5:   log pseudolikelihood = -15403.494  

Mixed-effects logistic regression               Number of obs     =     33,199
Group variable: study_id_alp                    Number of groups  =         31

                                                Obs per group:
                                                              min =        499
                                                              avg =    1,070.9
                                                              max =      1,995

Integration method: mvaghermite                 Integration pts.  =          7

                                                Wald chi2(17)     =          .
Log pseudolikelihood = -15403.494               Prob > chi2       =          .
                             (Std. err. adjusted for 31 clusters in study_id_alp)
---------------------------------------------------------------------------------
                |               Robust
        contact | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
----------------+----------------------------------------------------------------
    index_n_w_5 |    .144155   .1577459     0.91   0.361    -.1650212    .4533312
       Majority |  -.0090485   .0138485    -0.65   0.514    -.0361911    .0180942
      Closeness |  -.0229885   .0156724    -1.47   0.142    -.0537058    .0077289
                |
       Elsystem |
         Mixed  |   .8897421   .4811911     1.85   0.064    -.0533751    1.832859
         Joint1 |    .246909   .1646533     1.50   0.134    -.0758056    .5696235
           snap |   .0381843    .224191     0.17   0.865     -.401222    .4775905
                |
   Country_CSES |
Czech Republic  |   1.523245   .1873917     8.13   0.000     1.155964    1.890526
       Denmark  |   1.295331   .1588388     8.16   0.000     .9840126    1.606649
       Finland  |   1.182373   .1394667     8.48   0.000     .9090233    1.455723
        Greece  |    2.00997   .1836882    10.94   0.000     1.649948    2.369993
       Hungary  |  -.9711383   .7358645    -1.32   0.187    -2.413406    .4711297
       Iceland  |   1.624655   .1674351     9.70   0.000     1.296488    1.952821
       Ireland  |   2.802085   .1836119    15.26   0.000     2.442213    3.161958
        Latvia  |   .4167268   .2265865     1.84   0.066    -.0273746    .8608282
        Norway  |   1.274145   .2943628     4.33   0.000     .6972041    1.851085
        Poland  |  -.0961141   .1964692    -0.49   0.625    -.4811867    .2889584
      Portugal  |   .5499709   .4226442     1.30   0.193    -.2783965    1.378338
       Romania  |          0  (omitted)
      Slovakia  |   2.726027   .2029103    13.43   0.000      2.32833    3.123724
      Slovenia  |   .2166684   .4294489     0.50   0.614    -.6250359    1.058373
         Spain  |  -.4004066   .2339378    -1.71   0.087    -.8589164    .0581031
        Sweden  |   .9037915   .3750522     2.41   0.016     .1687027     1.63888
                |
          _cons |  -2.345426   .4599247    -5.10   0.000    -3.246862    -1.44399
----------------+----------------------------------------------------------------
study_id_alp    |
      var(_cons)|   .0561773   .0179815                      .0299988    .1052005
---------------------------------------------------------------------------------

. matrix x = e(N_g)

. estadd scalar N_years= x[1,1] // 

added scalar:
            e(N_years) =  31

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

. estadd local macro_controls "Yes", replace

added macro:
     e(macro_controls) : "Yes"

. estadd local micro_controls "No", replace

added macro:
     e(micro_controls) : "No"

. 
. eststo M3: melogit contact c.index_n_w_5 Majority Closeness ib2.Elsystem   Joint1 snap c.age##c.age female educ2-educ5 inc2-inc
> 5 cit2-cit4 party efficacy i.Country_CSES [pw=final_weight] if filter==1 & contact!=2  || study_id_alp:  , 
note: 41.Country_CSES omitted because of collinearity.

Fitting fixed-effects model:

Iteration 0:   log likelihood = -15353.048  
Iteration 1:   log likelihood = -15205.101  
Iteration 2:   log likelihood = -15202.961  
Iteration 3:   log likelihood = -15202.957  
Iteration 4:   log likelihood = -15202.957  

Refining starting values:

Grid node 0:   log likelihood = -15170.901

Fitting full model:

Iteration 0:   log pseudolikelihood = -15170.901  (not concave)
Iteration 1:   log pseudolikelihood = -15156.482  (not concave)
Iteration 2:   log pseudolikelihood = -15143.321  
Iteration 3:   log pseudolikelihood =  -15141.33  
Iteration 4:   log pseudolikelihood = -15140.524  
Iteration 5:   log pseudolikelihood = -15140.523  

Mixed-effects logistic regression               Number of obs     =     33,199
Group variable: study_id_alp                    Number of groups  =         31

                                                Obs per group:
                                                              min =        499
                                                              avg =    1,070.9
                                                              max =      1,995

Integration method: mvaghermite                 Integration pts.  =          7

                                                Wald chi2(30)     =          .
Log pseudolikelihood = -15140.523               Prob > chi2       =          .
                             (Std. err. adjusted for 31 clusters in study_id_alp)
---------------------------------------------------------------------------------
                |               Robust
        contact | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
----------------+----------------------------------------------------------------
    index_n_w_5 |   .1203457   .1388958     0.87   0.386    -.1518852    .3925765
       Majority |  -.0046731   .0134091    -0.35   0.727    -.0309546    .0216083
      Closeness |   -.024807   .0148934    -1.67   0.096    -.0539976    .0043835
                |
       Elsystem |
         Mixed  |   1.138357   .4318281     2.64   0.008      .291989    1.984724
         Joint1 |   .3594262   .1665149     2.16   0.031     .0330629    .6857895
           snap |   .0510607   .2025743     0.25   0.801    -.3459775     .448099
            age |   .0241688   .0119375     2.02   0.043     .0007717     .047566
                |
    c.age#c.age |  -.0002695   .0001105    -2.44   0.015    -.0004861   -.0000529
                |
         female |  -.1315068   .0553884    -2.37   0.018    -.2400661   -.0229475
          educ2 |   .4622631   .1834947     2.52   0.012       .10262    .8219061
          educ3 |   .6360742   .1607468     3.96   0.000     .3210162    .9511322
          educ4 |   .4618506   .1671723     2.76   0.006     .1341989    .7895022
          educ5 |   .7725053   .1577067     4.90   0.000     .4634059    1.081605
           inc2 |  -.1296185   .0600188    -2.16   0.031    -.2472531   -.0119839
           inc3 |   .0367128   .0744171     0.49   0.622     -.109142    .1825675
           inc4 |      .0398   .0742672     0.54   0.592     -.105761     .185361
           inc5 |   .0446549   .0761152     0.59   0.557    -.1045282     .193838
           cit2 |   .1091087    .066992     1.63   0.103    -.0221932    .2404107
           cit3 |  -.0654114   .1183587    -0.55   0.581    -.2973901    .1665674
           cit4 |  -.0339027   .0916503    -0.37   0.711    -.2135339    .1457285
    party_close |   .4112541   .0597447     6.88   0.000     .2941567    .5283515
       efficacy |   .0753678    .014396     5.24   0.000     .0471521    .1035835
                |
   Country_CSES |
Czech Republic  |   1.543589   .1802558     8.56   0.000     1.190294    1.896884
       Denmark  |   1.271911   .1623989     7.83   0.000     .9536146    1.590207
       Finland  |   1.110527   .1056572    10.51   0.000     .9034423    1.317611
        Greece  |     2.0936   .1909964    10.96   0.000     1.719254    2.467946
       Hungary  |  -1.212608    .662684    -1.83   0.067    -2.511445    .0862287
       Iceland  |   1.577771   .1665175     9.48   0.000     1.251403    1.904139
       Ireland  |   3.001203   .1832234    16.38   0.000     2.642091    3.360314
        Latvia  |   .3832897   .2134885     1.80   0.073    -.0351401    .8017195
        Norway  |   1.176218   .2948418     3.99   0.000     .5983386    1.754097
        Poland  |   .0104456   .1919232     0.05   0.957    -.3657169    .3866081
      Portugal  |   .7321398    .431602     1.70   0.090    -.1137847    1.578064
       Romania  |          0  (omitted)
      Slovakia  |   2.733411   .1725288    15.84   0.000     2.395261    3.071562
      Slovenia  |   .3705682    .386734     0.96   0.338    -.3874164    1.128553
         Spain  |  -.3033958   .2353277    -1.29   0.197    -.7646296    .1578379
        Sweden  |   .8522179   .3729906     2.28   0.022     .1211696    1.583266
                |
          _cons |  -3.860851   .5634523    -6.85   0.000    -4.965197   -2.756505
----------------+----------------------------------------------------------------
study_id_alp    |
      var(_cons)|   .0508746   .0180646                      .0253663    .1020342
---------------------------------------------------------------------------------

. matrix x = e(N_g)

. estadd scalar N_years= x[1,1] // 

added scalar:
            e(N_years) =  31

. estadd local fixed "Yes" , replace 

added macro:
              e(fixed) : "Yes"

. estadd local macro_controls "Yes", replace

added macro:
     e(macro_controls) : "Yes"

. estadd local micro_controls "Yes", replace

added macro:
     e(micro_controls) : "Yes"

. 
. esttab M1 M2 M3  using A_Table_16.tex, stats(fixed N N_years, labels("Country FE" "N (individuals)" "N (elections)") layout("\m
> ulticolumn{1}{c}{@}" "\multicolumn{1}{c}{$@$}" "\multicolumn{1}{c}{$@$}") f(0 0)) one incelldelimite("\:")  replace b(2) se(2) 
> wide staraux /// 
>         star(* 0.05 ** 0.01 *** 0.001)  drop(*.Country_CSES)   eqlabels(none) nobase nodep  ///
>         order( index* Majority Closeness  3.Elsystem ///
>         Joint1 snap age c.age#c.age female educ* inc* cit* party_close efficacy _cons  var(_cons[study_id_alp]) ) ///  
>  nolegend coeflabels(index_n_w_5  "IEF"  ///
>  3.Elsystem "Mixed" Joint1 "Concurrent Elections" snap "Snap Election"  age "Age" c.age#c.age "Age^2" female "Female" ///
>  educ2 "Education: Primary" educ3 "Education: Secondary" educ4 "Education: Post-Secondary"  educ5 "Education: University" /// 
>  inc2 "Income: Quintile 2" inc3 "Income: Quintile 3" inc4 "Income: Quintile 4" inc5 "Income: Quintile 5" ///
>  cit2 "Small/Mid-Sized Town"  cit3 "Suburb of a Large City" cit4 "Large City"  party_close "Close to a Party" efficacy "Efficac
> y" _cons "Constant" ///
> var(_cons[study_id_alp]) "Country-Year Variance", elist(_cons  \hline))  ///
> varwidth(24) nolegend note("") nomtitles alignment(d{10})
(output written to A_Table_16.tex)

. 
. *For interpretation below the table 
. margins, dydx(index_n_w_5) 

Average marginal effects                                Number of obs = 33,199
Model VCE: Robust

Expression: Marginal predicted mean, predict()
dy/dx wrt:  index_n_w_5

------------------------------------------------------------------------------
             |            Delta-method
             |      dy/dx   std. err.      z    P>|z|     [95% conf. interval]
-------------+----------------------------------------------------------------
 index_n_w_5 |   .0170063    .019543     0.87   0.384    -.0212973    .0553099
------------------------------------------------------------------------------

. su index_n_w_5 if contact!=2 & filter==1

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
 index_n_w_5 |     33,539    .8192692     .567156   .0570317   2.460994

. di .0170063*r(sd)
.00964523

.                 
.                 
.                 
.                 
.                 
. 
end of do-file

. 
. log close
      name:  <unnamed>
       log:  C:\Users\fkostelk\Dropbox\Replication_EF\Replication_EF.log
  log type:  text
 closed on:   3 Mar 2023, 18:42:12
---------------------------------------------------------------------------------------------------------------------------------
